arXiv Open Access 2023

Segmentation of Retinal Blood Vessels Using Deep Learning

Ifeyinwa Linda Anene Yongmin Li

Lihat Sumber

Abstrak

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.

Topik & Kata Kunci

eess.IV cs.CV

Penulis (2)

Ifeyinwa Linda Anene

Yongmin Li

Format Sitasi

APA MLA BibTeX

Anene, I.L., Li, Y. (2023). Segmentation of Retinal Blood Vessels Using Deep Learning. https://arxiv.org/abs/2303.09679

Akses Cepat

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Informasi Jurnal

Tahun Terbit: 2023
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓