RAVIR: A Dataset and Methodology for the Semantic Segmentation and Quantitative Analysis of Retinal Arteries and Veins in Infrared Reflectance Imaging

no code implementations • 28 Mar 2022 • Ali Hatamizadeh, Hamid Hosseini, Niraj Patel, Jinseo Choi, Cameron C. Pole, Cory M. Hoeferlin, Steven D. Schwartz, Demetri Terzopoulos

In this paper, we present a novel dataset, dubbed RAVIR, for the semantic segmentation of Retinal Arteries and Veins in Infrared Reflectance (IR) imaging.

Domain Adaptation Knowledge Distillation +1

Deep Dilated Convolutional Nets for the Automatic Segmentation of Retinal Vessels

no code implementations • 28 May 2019 • Ali Hatamizadeh, Hamid Hosseini, Zhengyuan Liu, Steven D. Schwartz, Demetri Terzopoulos

The reliable segmentation of retinal vasculature can provide the means to diagnose and monitor the progression of a variety of diseases affecting the blood vessel network, including diabetes and hypertension.

Retinal Vessel Segmentation Segmentation