Segmentation of Retinal Blood Vessels Using Deep Learning
Brunel University London（伦敦布鲁内尔大学）
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
