About This Project
This project implements a deep learning model for skin lesion segmentation using a UNet architecture. The model is developed in PyTorch and deployed with an interactive Streamlit application, allowing users to upload skin lesion images and view segmentation results in real-time.
Key Features
- Medical image segmentation
- U-Net architecture
- PyTorch implementation
Technologies
MLPythonPyTorchAI