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 ...

To address these challenges, we propose Vessel-SAM2, a retinal vessel segmentation network based on Segment Anything 2 (SAM2), capable of performing end-to-end segmentation at an ultra-high resolution ...

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, ...

Install Python 3 if not already installed. gratio_tuner.py: allows the user to tune the segmentation algorithm to an image and download those settings. gratio_image_processor.py: applies those ...

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