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This projects uses video feeds from endoscopic procedures to identify polyps in the gastrointestinal tract and draw masks around them to aid doctors in identifying precursors of colorectal cancer.

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Srinivas-Natarajan/Polyp-Segmentation

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Polyp-Segmentation

Steps to run the code

  1. Download the Clinic-CVC dataset at https://polyp.grand-challenge.org/CVCClinicDB/. This should contain our images and the correspnding ground truths.
  2. Run the Python notebooks in sequential order to train the models and collect the results. Each model is seperated into its own subsection.

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This projects uses video feeds from endoscopic procedures to identify polyps in the gastrointestinal tract and draw masks around them to aid doctors in identifying precursors of colorectal cancer.

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