Road Segmentation with U-Net and PyTorch This repository contains a PyTorch implementation of a U-Net based model for semantic segmentation of roads from high-resolution aerial imagery. The project ...

Retinal Disease Severity Grading A full PyTorch-based pipeline for training, evaluating, and deploying a retinal disease severity classifier using retinal fundus images (APTOS 2019 format). Includes ...

Segmenting retinal blood vessels is critical for the early detection of retinal abnormalities. While significant progress has been achieved in vessel segmentation through deep learning techniques, ...

Therefore, the automatic and accurate segmentation of retinal microvasculature is crucial for early diagnosis and monitoring of disease progression in various ophthalmological and cardiovascular ...