It is built on PyTorch and provides an accessible platform for training and deploying neural operator models, allowing users to solve PDE-based problems without being constrained by discretization.

The characteristics of Retinal Blood Vessels helps identify various eye ailments. The proper localization, extraction and segmentation of blood vessels are essential for the treatment of the eye.

Accurate segmentation of retinal layer boundaries can facilitate the detection of patients with early ophthalmic disease. Typical segmentation algorithms operate at low resolutions without fully ...

Accurate retinal vessel segmentation from fundus images is essential for eye disease diagnosis. Many deep learning methods have shown great performance in this task but still struggle with limited ...

This repository contains the code for semantic segmentation of the retina blood vessel on the DRIVE dataset using the PyTorch framework ...

Star 301 Code Issues Pull requests Retinal vessel segmentation toolkit based on pytorch retinal-vessel-segmentation Updated Oct 5, 2021 Python ...