An app for segmentation and classification of images of cells from optical microscope. This project uses marker controlled watershed (openCv), and pretrained ResNet-50 model (tensorflow)
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Updated
Sep 1, 2025 - HTML
An app for segmentation and classification of images of cells from optical microscope. This project uses marker controlled watershed (openCv), and pretrained ResNet-50 model (tensorflow)
Full-stack web application that uses a CNN based ResNet50 model served with Flask and a TypeScript/React frontend for real-time anemia screening. It enables users to upload nail and eye images through an interactive UI and receive AI-powered anemia classification results instantly.
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