https://github.com/Radiomics/pyradiomics

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e85f05c v2.1.0 Release 28 September 2018, 14:28:18 UTC
14809a5 Merge pull request #427 from JoostJM/mesh-volume Mesh volume and diameters 28 September 2018, 11:22:11 UTC
263e8b3 STYL: Update shape documentation and feature names To better reflect computation method, explicitly name the two volume features `MeshVolume` and `VoxelVolume`. Add documentation specifying the unless otherwise mentioned, features are based on the mesh approximation of the shape. Only exceptions to this are the `VoxelVolume` and PCA-derived features (`MajorAxisLength`, `MinorAxisLength`,`LeastAxisLength`, `Elongation` and `Flatness`. For these features, it is explicitly stated in the documentation that these do not make use of the mesh approximation, but the segmented voxel(center)s themselves. 28 September 2018, 10:52:02 UTC
1642170 TEST: Update baseline 28 September 2018, 10:52:02 UTC
7fd96f2 ENH: Calculate Maximum diameters based upon mesh Similar to the change in volume calculation, change the calculation for maximum diameters into one based on the triangle mesh generated by the marching cubes algorithm. This yields a higher consistency between volume, surface area and diameters, as they are now all based on the same volume (defined by the triangle mesh). Additionally, this is also computationally more efficient, as only one pass over all voxels is required, instead of 1 for surface area and volume, and another one for the calculation of the maximum diameters. 28 September 2018, 10:52:02 UTC
00e18bf ENH: Calculate Volume based on triangle mesh In concordance with the IBSI definition of volume, calculate it using the triangle mesh that is also generated for the calculation of surface area. This yields a better correspondence between the calculated volume and surface area, needed for calculation of several subsequent shape features (e.g. sphericity). Original formula for calculation is retained as 'new' feature "ApproximateVolume". 28 September 2018, 10:52:02 UTC
8451138 TEST: Add explicit install of numpy in install step In the case where PyWavelet needs to be compiled, numpy must be available. Even though it is specified in the requirements, it will not be available for compiling PyWavelets if not previously installed. Prevent failure of installation by explicitly checking if numpy is available and install it if not. 28 September 2018, 10:52:02 UTC
6223d35 BUG: fix building pywavelets from source Since release 1.0.0 of PyWavelets, python 3.4 is no longer officially supported. Therefore, no pre-built wheels are available on PyPi. To retain support for Python 3.4 on windows, it has to be build from source (pulled form PyPi). For this, both Cython and Numpy need to be pre-installed. For Linux and Mac, 3.4 wheels are available for the latest release. 28 September 2018, 10:51:40 UTC
4eb9264 Merge pull request #428 from JoostJM/resegmented-shape ENH: Allow to also use resegmented mask for shape calculation 27 September 2018, 13:05:47 UTC
b3282f5 ENH: Allow to also use resegmented mask for shape calculation Add new paramter `resegmentShape` to control this behaviour. This allows the user to also use the resegmented mask for shape calculation, e.g. in the usecase of PET, where a resegementation based on SUV may be performed (e.g. to obtain mean tumor volume). Addtionally, update documentation to reflect new resegmentation modes. 25 September 2018, 10:06:01 UTC
8cedd8f BUG: Update logging in PyRadiomics scripts - Fix bug where a more verbose log level for the file is ignored (logger level was not updated) - Prevent repeated configuration of logging, leading to multiple file handlers and duplicate messages in the log - Update format of the main thread to more closely match those in a parallel thread 24 September 2018, 09:39:17 UTC
828a7ac Typo: Remove duplicate key in example "shape" feature class was listed twice. 21 September 2018, 12:59:30 UTC
a59861e ENH: Prevent division by 0 in ngtdm Coarseness In case of a flat region, N_gp = 1, resulting a division by 0. Return 0 for Coarseness in this case. 21 September 2018, 12:46:23 UTC
e15f169 BUG: Fix a bug in MCC function In case of a flat region, GLCM has shape [1, 1, a], thereby resulting only in 1 eigenvalue (1). To prevent an indexing error, return arbitrary 1 in this case. In certain cases linalg.eigvals returns a complex number. Cast to float to ensure just the real part is returned. 21 September 2018, 12:28:07 UTC
592ab62 BUG: Fix error in settings parsing In the normalization function, 2 settings are used: "normalizeScale" and "removeOutliers". However, the parsing at the start of the function used incorrect names. Apply a fix to ensure correct parsing. 21 September 2018, 12:24:33 UTC
423c666 Merge pull request #411 from JoostJM/add-maximal-correlation-coefficient ADD: Add GLCM Maximal Correlation Coefficient 21 September 2018, 10:53:36 UTC
4f73269 Merge pull request #425 from JoostJM/enhance-function-customization ENH: Change signature of customizable functions to use `kwargs` 20 September 2018, 12:06:21 UTC
f84c17f ENH: Change signature of customizable functions to use `kwargs` All functions that can be customized in the settings, or call functions that can be customized, now use a signature using `kwargs`, which will contain all customization specified in the `setting` section. Necessary elements are obtained using `get()` at the start of the function. This enables easier addition of new features (only needed to update validation and the function itself, which saves updating the calls to the function throughout pyradiomics). Additionally, this also allows users to replaces functions in PyRadiomics with their own, so long as it follows the same signature (but now does allow for additional/different customization arguments). 20 September 2018, 11:54:53 UTC
ec3b415 Merge pull request #426 from JoostJM/Bug-general-info BUG: Fix error in generation of provenance info with misaligned mask 17 September 2018, 12:27:04 UTC
7af844f STYL: Update naming of provenance info features Features providing diagnostic/provenance info are now encoded as diagnostics_<Type>_<Feature>. Here <Type> is either "Versions", "Configuration", "Image-<specifier>" or "Mask-<specifier>". In the latter 2 cases, the specifier indicates where in the preprocessing pipeline the image or mask is: "original" (as from file), "interpolated" (after resampling, only available if enabled), "corrected" (only mask, if mask correction was needed) and "resegmented" (only mask, if resegmentation is enabled). Finally <Feature> indicates the element in that particular group, e.g. "Size" for the x, y and z dimensions of the image or mask. 17 September 2018, 11:55:45 UTC
40070bb BUG: Fix error in generation of provenance info with misaligned mask When image and mask do not share an identical geometric space, the general info elements for ROI mean, minimum and maximum are incorrect. In case where the mask size does not match the image size, this even produces an error. Therefore, do not include the image prior to the image and mask geometry are ensured to be the same (this is only the case for the original mask, as the next step is either resampling (forcing similar geometry) or checkMask (comparing/correcting geometry)). Additionally, add spacing and size elements of the mask for comparison. 17 September 2018, 11:07:29 UTC
c285c15 BUG: Fix some small bugs in the baseline generation script 14 September 2018, 12:43:29 UTC
0a5a7d7 DOCS: Expand explanation of IMC 1 and 2 Also document the equality of HXY1 and HXY2 (both equal to HX + HY), and their relationship with mutual information (I = HX + HY - HXY). Add the expected ranges of values. Fix typos in the rendering of the MCC formula. 12 September 2018, 13:24:18 UTC
f4e9392 ADD: Add GLCM Maximal Correlation Coefficient Add the 14th Haralick feature to the GLCM. Add baseline for this feature and update documentation accordingly. Additionally, simplify eigenValue calculation in shape.py (instead of numpy.linalg.eigval, call numpy.linalg.eigvals, which only returns eigenvalues and not the eigenvectors (not used)). 12 September 2018, 13:24:18 UTC
7d919cf BUG: Fix error in general info generation (image elements) Min and max were reversed. 12 September 2018, 09:33:55 UTC
e4eaf85 Merge pull request #420 from JoostJM/update-resegmentation Extend resegmenting functionality 10 September 2018, 12:00:25 UTC
c44fa15 ENH: Update provenance info, use error raising Update the general info class, which will now be updated at multiple points in the extraction pipeline. This enables reflecting the various changes introduced by the pre-processing. Instead of returning "None" when checks fail, raise a ValueError. This removes the need for checking for "None" and ensures that the extraction is cancelled, with a warning message shown to the user. 10 September 2018, 11:27:17 UTC
b3a1504 ENH: Extend resegmenting functionality In addition to the original mode (now default mode "absolute"), add new modes "relative" and "sigma", which allow for a dynamic threshold defined as either a threshold relative to the maximum value found in the ROI ("relative") or as a n * sigma difference from the mean ("sigma"). Additionally, it is now allowed to provide either 1 or 2 thresholds, where in case of 1 threshold it is interpreted as the lower threshold (i.e. retaining everything equal to or higher than that threshold). In case the function fails, a ValueError is raised. The checks to determine the validity of the resegmented mask is not determined in this function, but is applied in the pipeline defined by featureextractor. 10 September 2018, 11:26:12 UTC
a4d0f8a Merge pull request #422 from JoostJM/publish-conda Publish conda 10 September 2018, 11:17:48 UTC
875e7b4 ENH: Only deploy from main repository 10 September 2018, 09:40:16 UTC
fec600a ENH: Enable upload to conda 07 September 2018, 15:19:29 UTC
be7464e ENH: Move conda configuration to separate bat/sh file 07 September 2018, 14:03:56 UTC
623b836 BUG: Fix incorrect check for minimum ROI dimensions. By using `<=`, also ROIs that had the same number of dimensions as minimum dimensions were excluded. Additionally, set the default value for required minimum dimensions to 2 (2D ROIs). 07 September 2018, 13:33:11 UTC
c39ea9c Test: Test packaging in Appveyor and Travis 07 September 2018, 11:51:02 UTC
d64ebab ADD: Add conda packaging Add a recipe for building a conda package for PyRadiomics. Update config.yml for CircleCI to test a script for automated building and uploading to Anaconda. Currently just builds the distributions, but does not upload them. 06 September 2018, 09:55:04 UTC
0fe737e DOCS: Update Readme and setup.py script setup.py - Add additional project urls - Add classifier python 3.6 Readme - Update docker section (include CLI docker, point to dockerhub, instead of building docker) - Update usage section on use of CLIs - Add new (optional) requirements, which are needed for LBP filters 29 August 2018, 09:20:33 UTC
bbf8238 v2.0.1 Release Update changelist and documentation. 29 August 2018, 08:20:28 UTC
f3ee994 Merge pull request #416 from JoostJM/add-center-of-mass Add center of mass (General Info) 28 August 2018, 11:56:26 UTC
217a840 BUG: Fix incorrect parsing of Label in batch file When a column "Label" has been specified in the batch input file, the value should be used for the extraction label. However, this is required to be an integer, whereas it may be parsed as string. Therefore, add a check to convert to integer if it is a string (and therefore not None). When extracting in parallel, info messages of each thread are filtered out of the console output. However, info messages from the script, e.g. detailing how long the extraction of a single patient took, should not be filtered out. In the batch script, this filter had the wrong logger name passed to the filter (radiomics.batch instead of radiomics.script). 28 August 2018, 09:53:22 UTC
917fadf Merge pull request #419 from JoostJM/bug-memory-leaks Fix memory leak in C extensions 27 August 2018, 14:23:38 UTC
ce20248 BUG: Fix memory leak in C extensions Since C functionality is implemented for the calculation of the angles, texture matrix calculation returns a tuple of the matrix and the angles. However, this uses Py_BuildValue with specifier "O", which increases the reference count, and thereby introduces a memory leak. Fix this by replacing "O" by "N", which has the same effect for the returned values, but does not increase the reference count. Moreover, the angles array is only needed for GLCM and GLRLM matrices. Therefore, only return the angles array in these 2 functions and free the array in the other functions. 27 August 2018, 13:47:16 UTC
69ccb7d Merge pull request #407 from JoostJM/simplify-glcm-features ENH: Simplify computation of various GLCM features 22 August 2018, 08:03:36 UTC
91405b0 ENH: Add center of mass Add a general info feature that computes the center of mass of the current ROI. Center of mass is computed in both continuous index coordinates (`getCenterOfMaskIndexValue`) and real-world coordinates (`getCenterOfMassValue`). 15 August 2018, 09:48:08 UTC
5e475ba Merge pull request #409 from JoostJM/bugfix-docker-cli BUG: Fix missing requirements in docker CLI file 14 August 2018, 08:44:50 UTC
09af9b5 BUG: Fix missing requirements in docker CLI file For the additional filters, PyRadiomics requires scikit-image, which in turn requires matplotlib. To install this package, freetype and libpng are needed. Install these as well. 13 August 2018, 11:31:27 UTC
fe0e2c3 DOCS: Update usage section on commandline usage Show correct way to specify output file in batch processing. Fix help message in the commandline script showing the default format (is "txt", but help message said "csv"). 13 August 2018, 10:06:37 UTC
1f16b9e ENH: Update warning message for checking ROI. 13 August 2018, 08:15:29 UTC
247bd6a ENH: Simplify computation of various GLCM features Inverse Difference, Inverse Difference Moment, Inverse Difference Normalized, Inverse Difference Moment Normalized and Inverse Variance all use a |i=j| element, which is equal to the k_diff. This enables the use of p_x-y (`pxSuby`) and k_diff (`kValuesDiff`), which are precomputed in `_calculateCoefficients`. Note that for Inverse Variance, the first element (k = 0) is skipped, in accordance with the constraint of i not equal to j in the formula. As `pxSuby` contains fewer elements and dimensions than `P_glcm`, replacing `P_glcm` by `pxSuby` and `numpy.abs(i-j)` by `kValuesDiff` simplifies the function, and less computations are required. Update the feature formulas in the documentation accordingly. The final calculated result should be identical (within machine precision), therefore the baseline does not need to be updated. 08 August 2018, 07:00:16 UTC
4ba909a STYL: Correct typo in IMC1 and 2 features (GLCM) Name should be informational measure of correlation instead of informal. 08 August 2018, 06:15:02 UTC
9f9361a REF: Add reference for the GLDM texture feature class 08 August 2018, 06:00:05 UTC
6b828e6 Merge pull request #405 from JoostJM/fix-wavelet-name-bug BUG: Fix an error in generating the approximation name for wavelet. 07 August 2018, 15:58:16 UTC
c8284bc Merge branch 'master' into fix-wavelet-name-bug 07 August 2018, 15:27:50 UTC
e47afb1 Merge pull request #404 from fedorov/fix-spacing ENH: fix the assigment of x and y pixel spacing 07 August 2018, 15:24:57 UTC
691812c BUG: Fix an error in generating the approximation name for wavelet. 07 August 2018, 13:52:31 UTC
e49133c ENH: fix the assigment of x and y pixel spacing Note that this issue has no effect on the calculation, but might be confusing to the developers, and also might cause problems later in case those are reused in a feature where order matters. 02 August 2018, 13:49:29 UTC
2a9fd79 BUG: fix invocation of numpy.histogram As noted in #399, numpy.histogram returns a tuple, appears that the index was missed earlier. 23 July 2018, 18:29:14 UTC
c6a1f21 STYLE: fix math rendering 23 July 2018, 18:07:04 UTC
4775ee1 v2.0.0 release 05 July 2018, 14:01:07 UTC
5a09f94 DOCS: Update documentation to reflect new type of installation 05 July 2018, 14:00:30 UTC
6b9f964 Merge pull request #394 from JoostJM/publish-pypi Publish pypi 05 July 2018, 13:05:07 UTC
767d673 ENH: Switch to live PyPi Server 05 July 2018, 12:53:22 UTC
04a1536 ENH: Add testing of python 3.4-6 and 2.7 in for each CI server Add missing python versions to the matrix configuration of travis and appveyor config files. Rewrite the circle ci config file to work with parallel and sequential jobs in a workflow. Moreover, change CircleCI testing back to native python testing and use SciKit-CI (quicker setup of docker image used), and keep the testing of jupyter notebooks as a separate job performed after regular tests have passed Increase required version of setuptools to ensure correct processing of the `long_description_content_type` flag in `setup.py`. 05 July 2018, 12:33:14 UTC
c26b328 BUG: Fix missing description 05 July 2018, 11:37:31 UTC
fbe985a BUG: Fix missing patchelf tool in CircleCI Needed to run auditwheel, which in turn is used to correct the Linux wheels. 04 July 2018, 16:39:46 UTC
6615ec6 ENH: Move creation of distribution to after_test In place of creation of the distributions, run build ext to test compilation of the C extensions in the Build step. 04 July 2018, 16:17:51 UTC
e6afeda ENH: Add publishing to PyPi to continuous integration Adds a deploy step for all 3 ci-servers used by pyradiomics (supporting Linux, Windows and Mac OSX). The deployment step is only run for tagged releases, i.e. when a build is triggered for a tag. Furthermore, this tag is checked against a regex expression, to restrict deployment only to releases (e.g. v1.0, v2.1.3) and/or release candidates (e.g. v1.0-rc1, v2.1.3-rc12). Authentication to the PyPi server is done using (private) environment variables set in the accounts on the various CI-servers. These variables will be only available to builds on branches/tags in the repository that is linked to the CI-account (i.e. not available for forked builds). Finally, the current deployment step publishes to the test server, rather than the live server. This is done for testing of the workflow. Prior to integration into the master this will be rectified. 04 July 2018, 15:45:35 UTC
69933c7 Merge pull request #393 from JoostJM/revise-bincount-checks Revise bincount checks 02 July 2018, 14:32:27 UTC
c8ceee2 BUG: Skip returning the approximation in Wavelet twice The approximation should only be returned for the last wavelet, and this is done so by building it from `data`. However, during the iteration of the results (`dec`), the (intermediate) approximiation is not skipped. Add a check for skipping the approximation result in this loop. 28 June 2018, 06:41:29 UTC
c073d20 Merge pull request #386 from JoostJM/add-binCount-support ENH: Add support for using a fixed bin count 27 June 2018, 16:00:19 UTC
5648984 DOCS: Add detailed explanation on C-extension errors Add an explanation of the various errors thrown by the C extensions when calculating texture features in the C extensions to the FAQ section of the documentation. Also add some pointers to potential solutions where appropriate. 27 June 2018, 15:56:54 UTC
885f981 ENH: Add support for using a fixed bin count In most literature on Radiomics to date, gray value discretization is done using either a fixed bin count or a fixed bin width. Although there is consensus on the need for discretization prior to texture-feature calculation, there is no definitive evidence favouring either the fixed bin count or fixed bin width method in a general application. There is some literature available showing a better reproducibility using a fixed bin width for features extracted from PET imaging. On the other hand, in many studies a fixed bin count is used. At PyRadiomics, we recommend using a fixed bin width, but implement a fixed bin count for completeness. See [this FAQ topic](http://pyradiomics.readthedocs.io/en/latest/faq.html#radiomics_fixed_bin_width) for a more detailed explanation of our rationale for recommending usage of a fixed bin width. Additionally, update the documentation to reflect the new voxel-based extraction functionality. 27 June 2018, 15:31:54 UTC
d3df83f ENH: Check if Matrix arrays are allocated correctly If size is too big or the computer is unable to allocate memory for the output texture matrices, the function (PyArray_SimpleNew) returns NULL. Check for this and throw a python runtime error if that is the case. Replace the large number with `INT_MAX` in the size check for increased readability. 27 June 2018, 14:45:50 UTC
4027a52 BUG: Fix axis definition in wavelet Use a list instead of a set to ensure the order of elements is preserved. A tuple is not used from the start, as elements cannot be deleted from the tuple. 26 June 2018, 11:01:00 UTC
f0e82e3 Merge pull request #391 from JoostJM/bins-check ENH: Add check to prevent too many bins from being generated 20 June 2018, 14:13:48 UTC
844e03d ENH: Add check to prevent too many bins from being generated When the GLCM is calculated in C, an array is generated of size Ng x Ng x Na (Ng = number of bins, Na = number of angles). If the number of bins exceeds 12852 with 13 angles, the resulting array has more than 2,147,483,648 elements, which in turn causes the index variable (int32) to overflow, crashing the python interpreter. Seeing as generally ~100 bins are advised, limit the number of bins instead of using datatypes that can reach higher numbers. A maximum number of 7000 is chosen (allowing for a maximum of 43 angles in GLCM). If the number of bins exceeds this number, an error is raised. Additionally, add a size check prior to instantiating the output arrays in C. If the size > 2147483648, throw an error. Fix typo in error message when calculation of angles fails. 20 June 2018, 12:40:31 UTC
da1fc16 BUG: Fix deprecation error in featureextractor After recent merging of voxelwise extraction, API to a calculate features has changed from `calculateFeatures` to `execute`, this was correctly changed in feature extractor for the calculation of firstorder and texture features, but not for shape features. 19 June 2018, 12:51:12 UTC
1ec4fd6 Merge pull request #389 from JoostJM/docker-requirements-bug BUG: Fix missing packages in Dockerfile 14 June 2018, 07:46:20 UTC
c0555c6 Merge pull request #387 from JoostJM/add_wavelet_tests TEST: Add wavelet test 13 June 2018, 15:40:08 UTC
4803cb7 BUG: Fix missing packages in Dockerfile To enable local binary pattern 2D and 3D, scipy, scikit-image and trimesh are additionally required, but these are not mentioned in the requirements (to allow installing without these packages). To enable these filters in the CLI-docker, add pip install lines for these packages to the dockerfile. 13 June 2018, 08:16:39 UTC
da7321d TYPO: Fix typo in formula of firstorder-Uniformity A higher uniformity indicates a more homogeneous distribution of gray values instead of a more heterogeneous one. 13 June 2018, 08:03:25 UTC
aef949f TEST: Add wavelet test Add a test to check if precropping and different size input images still produce the same output for the wavelet filter. This test uses 2 new test cases that have been added to the 1.0.0 release of PyRadiomics and enabled for download by `getTestCase()`. Additionally ensures temporal consistency by using a baseline file that defines the 1D-array of voxels in the ROI for each wavelet level (This array can be obtained by slicing the image array with a boolean cast of the mask array). The baseline is generated using the large (64x64x64) image without pre cropping. The function to generate this baseline is added to `add_baseline.py`. Finally, apply some style changes to the other test files to make them more consistent with pyradiomics style. Supersedes #348. 05 June 2018, 11:01:52 UTC
7e5f75d DOCS: Update release notes 05 June 2018, 08:49:49 UTC
4464d1c REF: Add references to new filters Add refrences to 2D and 3D Local Binary Pattern and Gradient (Magnitude) filter. Add new filters and feature classes in the ReadMe documentation. Fix to short title underling in FAQ documentation 05 June 2018, 08:11:00 UTC
e6435e7 Merge pull request #337 from JoostJM/add-voxel-based-calculation ADD: Add voxel-based extraction 04 June 2018, 14:39:59 UTC
233b486 BUG: Fix broken tests Due to some API changes, continuous testing was reporting some errors: - Fix a flake8 coding style error in `base.py` - Add a call to `_initCalculation` in `test_cmatrices.py` to ensure feature classes are correctly initialized prior to calculating texture matrices - Update call in `test_features.py` to `execute` (reflecting API change) 04 June 2018, 13:16:55 UTC
fafe8c5 ADD: Add customizable initialization value for voxel based extraction Add optional customization of the initialization value for the output arrays when calculating features voxel based. By default this value is 0, but any float is allowed. Additionally, change the name of the variable holding the customization settings in the feature classes from `kwargs` to `settings`. This better reflects what the variable holds and is similar to the variable name in the featureextractor module. 04 June 2018, 13:14:33 UTC
671acf5 Update examples to reflect new API Only abstract feature class API is changed, so only the examples that work with the feature classes directly need be updated. 04 June 2018, 13:11:20 UTC
9aa5305 ADD: Add example to show new voxel based functionality Add example settings for voxel based extraction. Add helloVoxel example to extract a parameter map from a test case. 04 June 2018, 13:11:20 UTC
4f9ab6b ADD: Add voxel-based extraction Add a voxel based extraction, which outputs a dictionary of SimpleITK images instead of float values. Each voxel in the returned image represent the respective feature value for that region. The local region can be defined as 'masked' or 'unmasked'. In unmasked mode, the region is defined as a cube with radius `kernelRadius` around the voxel: the kernel. If part of the kernel is outside of the image bounds, those parts are excluded. In masked mode, the kernel is defined similar to unmasked mode, with additional exclusion of voxels that are outside the masked area (ROI). This change also slightly changes the moment of several instantiation. In previous version, the the texture matrices in glcm, glrlm, etc. were calculated during initialization of the class. However, because for the voxel-based extraction they have to be calculated separately for each voxel, this functionality has been moved to the top of the `_calculateFeatures` (which runs when the features are acutally calculated). N.B. This changes the API to the abstract feature class. Features are now extracted by a call to `execute` instead of `calculateFeatures`. In addition to a name change, `execute` also directly returns the result (similar to usage of the feature extractor class). As before, calculated results remain available in the class under the `featureValues` attribute. Adds a new section to the parameter file to allow customization of voxel-based extraction specific settings. TODO: - Update examples to reflect API change - Add functionality in feature extractor module to make voxel based extraction available - Write new examples to reflect new functionality 04 June 2018, 13:10:27 UTC
1b0eb74 Merge pull request #373 from JoostJM/remove-python-equivalents-for-c-functions Remove python equivalents for c functions 31 May 2018, 13:55:03 UTC
06bc744 Merge pull request #375 from tommydino93/patch-1 -swt3 comments 31 May 2018, 13:54:46 UTC
81dd0c1 Update imageoperations.py 18 April 2018, 12:16:03 UTC
48c2bcd Update imageoperations.py 18 April 2018, 12:06:09 UTC
fb166ac Update imageoperations.py 18 April 2018, 11:28:08 UTC
597750b Update imageoperations.py 18 April 2018, 07:57:50 UTC
dd75c92 -swt3 comments I have just added some comments to the method _swt3 which is called inside the method getWaveletImage 17 April 2018, 15:04:43 UTC
0c80bdb STYL: Fix Flake8 errors 11 April 2018, 14:20:27 UTC
9899db3 ENH: Remove Python equivalents for C extension functionality Remove Python Texture matrix calculation: - GLCM - GLRLM - GLSZM - GLDM - NGTDM Remove Python surface area calculation Remove Python `GenerateAngles()` Remove parameters associated with enabling/disabling C Extensions Update warning messages displayed when C extensions fail to load. Update examples. Update documentation. 11 April 2018, 14:01:45 UTC
80ca820 ENH: Update Matrices test script Remove Python calculation from `test_cmatrices.py`. Instead, compare to baseline files (binary numpy array files). Additionally, rename the script to `test_matrices.py`. Update and move the script to add a new baseline to the tests folder, so that it can utilize the testUtils module during generation of a new baseline. The updates now include the generation of a baseline matrix file if the class contains the appropriate function (`_calculateCMatrix`). 11 April 2018, 14:01:45 UTC
974a734 Merge pull request #369 from fedorov/fix-std-formula Fix std formula 09 April 2018, 08:04:02 UTC
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