Stimulus-guided adaptive transformer network for retinal blood vessel segmentation in fundus images

Author:

Lin Ji,Huang Xingru,Zhou Huiyu,Wang YaqiORCID,Zhang QianniORCID

Funder

NVIDIA Corp

The Royal Society

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference62 articles.

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2. Detecting retinal vasculature as a key biomarker for deep learning-based intelligent screening and analysis of diabetic and hypertensive retinopathy;Arsalan;Expert Syst. Appl.,2022

3. Expert-validated estimation of diagnostic uncertainty for deep neural networks in diabetic retinopathy detection;Ayhan;Med. Image Anal.,2020

4. Segnet: A deep convolutional encoder-decoder architecture for image segmentation;Badrinarayanan;IEEE Trans. Pattern Anal. Mach. Intell.,2017

5. A transformer-based cascade network with boundary enhancement loss for retinal vessel segmentation;Cai,2022

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