The goal is to segment instances of microvascular structures, including capillaries, arterioles, and venules, to automate the segmentation of microvasculature structures to improve researchers' understanding of how the blood vessels are arranged in human tissues.
- Home Page: This page contains project details and introduces team members.
- Prediction Page: To upload an image and its corresponding mask. After submission, the backend processes the data to return six images: the original image, the original image overlaid by the true mask, the original image overlaid by the predicted mask, the true mask, the predicted mask, and an overlaid mask. Additionally, users receive IOU and Dice scores as indicators of segmentation accuracy, and the the threshold at which the mask was segmented.