Segmentation of Retinal Blood Vessels Using Deep Learning

Autor:	Anene, Ifeyinwa Linda, Li, Yongmin
Rok vydání:	2023
Předmět:	Electrical Engineering and Systems Science - Image and Video Processing Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	The morphology of retinal blood vessels can indicate various diseases in the human body, and researchers have been working on automatic scanning and segmentation of retinal images to aid diagnosis. This project compares the performance of four neural network architectures in segmenting retinal images, using a combined dataset from different databases, namely the UNet, DR-VNet, UNet-ResNet and UNet-VGG.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2303.09679 Zobrazit plný text záznamu View this record from Arxiv