rt-utils
A minimal Python library to facilitate the creation and manipulation of DICOM RTStructs. (by qurit)
Phantom
Effective DICOM anonymization in Python (by cyrilzakka)
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
rt-utils
Posts with mentions or reviews of rt-utils.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-05-12.
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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
Phantom
Posts with mentions or reviews of Phantom.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing rt-utils and Phantom you can also consider the following projects:
pydicom - Read, modify and write DICOM files with python code
Viewers - OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages
raiven - A framework for the translation of AI tools to the radiology environment
mammography_metarepository - Meta-repository of screening mammography classifiers
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.
torchio - Medical imaging toolkit for deep learning
platipy - Processing Library and Analysis Toolkit for Medical Imaging in Python