nadeemlab/CEP
Computational Endoscopy Platform (advanced deep learning toolset for analyzing endoscopy videos) [MICCAI'25, MICCAI'22, MICCAI'21, ISBI'21, CVPR'20]
This platform helps medical researchers and clinicians analyze endoscopy videos by providing advanced tools for tasks like identifying haustral folds, visualizing surface coverage, and estimating depth within the colon. You input colonoscopy video frames, and it outputs detailed annotations, augmented video data, or visualizations to assist in research and training. It's designed for medical professionals, researchers, and educators working with gastrointestinal endoscopy data.
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Use this if you need to automatically analyze colonoscopy videos for anatomical features, create augmented video datasets for training, or visualize areas that might have been missed during a procedure.
Not ideal if you require real-time clinical diagnostic support or a certified medical device, as this is a research and development tool.
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Language
Python
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Last pushed
Jun 29, 2025
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