pydicom
rt-utils
pydicom | rt-utils | |
---|---|---|
3 | 2 | |
1,818 | 175 | |
0.8% | 2.9% | |
8.9 | 3.1 | |
6 days ago | 9 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
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pydicom
- Easy Medical Imaging Projects?
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Varian structure file to training masks
Within Radiotherapy AI's product under the hood we use pydicom and skimage.draw.polygon2mask.
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Trouble with directory/folder permissions and pydicom-medical imaging.
I believe get_testdata_file is returning the absolute path to the file and so dcmread expects a file path and not a directory.
rt-utils
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Trying to make masks from CT contours and need help...
I am trying to make masks from CT contours and need some help. I am using the rt_utils extension: https://github.com/qurit/rt-utils. I am having issues with the dicom_series_path - I set my path to be the folder all of the dicom slices are housed in, but I get "permission denied" as the function is looking for a file, not a folder. I then set the path to go directly to the first CT slice, and the function runs but creates an error due to there being no contour on that slice (understandable).
- Varian structure file to training masks
What are some alternatives?
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Phantom - Effective DICOM anonymization in Python
dicom2stl - Python script to extract a STL surface from a DICOM image series.
raiven - A framework for the translation of AI tools to the radiology environment
platipy - Processing Library and Analysis Toolkit for Medical Imaging in Python
medicaldetectiontoolkit - The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
Django - The Web framework for perfectionists with deadlines.
mammography_metarepository - Meta-repository of screening mammography classifiers
pymedphys - A community effort to develop an open standard library for Medical Physics in Python. Building quality transparent software together via peer review and open source distribution. Open code is better science.
awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.
TheAlgorithms - All Algorithms implemented in Python