A Discriminatively Trained Fully Connected Conditional Random Field Model for Blood Vessel Segmentation in Fundus Images-Reference-Cited by-同舟云学术

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A Discriminatively Trained Fully Connected Conditional Random Field Model for Blood Vessel Segmentation in Fundus Images

Published:2017-01 Issue:1 Volume:64 Page:16-27
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Orlando Jose Ignacio,Prokofyeva Elena,Blaschko Matthew B.

Funder

Internal Funds KU Leuven, ERC

CONICET

INRIA Scalay & Centrale Supélec, Châtenay-Malabry, France

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/7792100/07420682.pdf?arnumber=7420682

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5. Retinal Vessel Segmentation by a Transformer-U-Net Hybrid Model With Dual-Path Decoder;IEEE Journal of Biomedical and Health Informatics;2024-09

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