[MICCAI 2024, top 11%] Official Pytorch implementation of Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography

MixMatch Domain Adaptation: Prize-winning solution for both tracks of VisDA 2019 challenge

Identifying cooling towers from satellite and aerial imagery

[Computer Vision] Mask wearing classification task (4등 / 48팀)

This project aims to develop a deep learning model for segmenting the stomach and intestines in MRI scans of cancer patients, improving radiation targeting and reducing manual intervention.

Classification of Brain MRI scans into 4 categories of tumor using EfficientNet model.

Lego Bricks Automatic Conveyor Belt Classifier using CV

This project applies Convolutional Neural Networks (CNNs) to automatically classify peripheral blood smear images for Acute Lymphoblastic Leukemia detection. It represents my Bachelor's thesis work, focusing on medical imaging and deep learning model performance.