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Segmentation of Retinal Blood Vessels Using Deep Learning

Image and Video Processing 2023-03-20 v1 Computer Vision and Pattern Recognition
Authors: Ifeyinwa Linda Anene , Yongmin Li
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Abstract

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.

Keywords

image segmentation deep learning segmentation medical image segmentation

Cite

@article{arxiv.2303.09679,
  title  = {Segmentation of Retinal Blood Vessels Using Deep Learning},
  author = {Ifeyinwa Linda Anene and Yongmin Li},
  journal= {arXiv preprint arXiv:2303.09679},
  year   = {2023}
}

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