- Project 1 is the first iteration of 1st module of the project - Monitoring the quality of video frames in colonoscopy. We implemented transfer learning with Resnet-50 in this module. Please refer to Paper_1(custom).ipynb for the code that gave us the best outcome.
- Project 2 is the first iteration of 2nd module of the project - Detecting and locating tumors in the images extracted from the colonoscopy. We used Unet CNN model in this model. Please refer to Atention_unet.ipynb for the code that gave us the best outcome.
- Project 3 combines 1st and 2nd module of the project. An additional module - Classifying image whether it contains polyp or not - was added. Notable files are:
- polyp_classification.ipynb
- proj1_2.ipynb