LUVS-Net: A Lightweight U-Net Vessel Segmentor for Retinal Vasculature Detection in Fundus Images

LUVS-Net: A Lightweight U-Net Vessel Segmentor for Retinal Vasculature Detection in Fundus Images

This paper presents LUVS-Net, which is a lightweight convolutional network for retinal vessel segmentation in fundus images that is designed for resource-constrained devices that are typically unable to meet the computational requirements of large neural networks. The computational challenges arise...

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Bibliographic Details
Main Authors: Muhammad Talha Islam, Haroon Ahmed Khan, Khuram Naveed, Ali Nauman, Sardar Muhammad Gulfam, Sung Won Kim
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Electronics
Subjects:
convolutional neural network
CHASE
DRIVE
deep learning
image segmentation
medical images
Online Access:https://www.mdpi.com/2079-9292/12/8/1786

Internet

https://www.mdpi.com/2079-9292/12/8/1786

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