ILU-Net: Inception-Like U-Net for retinal vessel segmentation-Reference-Cited by-同舟云学术

ILU-Net: Inception-Like U-Net for retinal vessel segmentation

Published:2022-06 Issue: Volume:260 Page:169012
ISSN:0030-4026
Container-title:Optik
language:en
Short-container-title:Optik

Author:

Zhu Zifan,An Qing,Wang Zhicheng,Li Qian,Fang Hao,Huang Zhenghua^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference46 articles.

1. Fine particles, thin films and exchange anisotropy (effects of finite dimensions and interfaces on the basic properties of ferromagnets);Jacobs,1963

2. Retinal vein occlusion;Morris;Kerala J. Ophthalmol.,2016

3. Classification of retinal vessels into arteries and veins for detection of hypertensive retinopathy;Irshad,2014

4. And cardiovascular risk factors;lui Cheung;Ophthalmology,2011

5. A novel structual features-based approach to automatically extract multiple motion parameters from single-arm X-ray angiography;Zhang;Biomed. Signal Process. Control,2017

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PDTE: Pyramidal deep Taylor expansion for optical flow estimation;Pattern Recognition Letters;2024-04

2. A systematic review of retinal fundus image segmentation and classification methods using convolutional neural networks;Healthcare Analytics;2023-12

3. A comprehensive survey on segmentation techniques for retinal vessel segmentation;Neurocomputing;2023-11

4. Deep Learning Architecture with an Optimized Convolutional Processing for the Segmentation of Retinal Blood Vessels;2023 9th International Conference on Control, Decision and Information Technologies (CoDIT);2023-07-03

5. Facial expression recognition network with slow convolution and zero-parameter attention mechanism;Optik;2023-07