HiLab-git/WORD
[MedIA2022]WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
The WORD dataset provides a collection of CT scans with precise annotations for abdominal organs. It helps medical researchers and radiologists develop and test automated methods for segmenting organs like the liver, spleen, and kidneys. Researchers input CT images and can use the output to train and evaluate algorithms for automated organ identification.
172 stars. No commits in the last 6 months.
Use this if you are a medical imaging researcher or a radiologist developing or evaluating deep learning models for automated abdominal organ segmentation from CT scans.
Not ideal if you need a dataset for clinical diagnosis, commercial product development, or any use outside of academic research.
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172
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Language
Python
License
GPL-3.0
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Last pushed
Sep 04, 2024
Commits (30d)
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