Mammographic images classification.

Exploring the Application of Attention Mechanisms in Conjunction with Baseline Models on the COVID-19-CT Dataset

I built a web app for medical image analysis that allows users to upload images and receive classification results. The backend uses Spring Boot with PostgreSQL for authentication and role management, while FastAPI handles the image processing and making predictions. On the frontend, I developed a responsive ReactJS interface.

YOLO-style object detector implemented from scratch with a custom loss function, pre-trained feature extractor, and end-to-end training pipeline on PASCAL VOC for real-time object localization and classification. Tech: Python (pytorch, scikit-learn, numpy, matplotlib, tqdm, PIL)