Retinal Vessel Segmentation Based on a Lightweight U-Net and Reverse Attention

Retinal Vessel Segmentation Based on a Lightweight U-Net and Reverse Attention

U-shaped architectures have achieved exceptional performance in medical image segmentation. Their aim is to extract features by two symmetrical paths: an encoder and a decoder. We propose a lightweight U-Net incorporating reverse attention and a preprocessing framework for accurate retinal vessel se...

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Bibliographic Details
Main Authors: Fernando Daniel Hernandez-Gutierrez, Eli Gabriel Avina-Bravo, Mario Alberto Ibarra-Manzano, Jose Ruiz-Pinales, Emmanuel Ovalle-Magallanes, Juan Gabriel Avina-Cervantes
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Mathematics
Subjects:
vesselness
retinopaties
segmentation
reverse attention
Online Access:https://www.mdpi.com/2227-7390/13/13/2203
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https://www.mdpi.com/2227-7390/13/13/2203

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