A multi-scale convolutional neural network with context for joint segmentation of optic disc and cup-Reference-Cited by-同舟云学术

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A multi-scale convolutional neural network with context for joint segmentation of optic disc and cup

Published:2021-03 Issue: Volume:113 Page:102035
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Yuan Xin,Zhou Lingxiao,Yu Shuyang,Li Miao,Wang Xiang,Zheng Xiujuan

Funder

Sichuan Province Science and Technology Support Program

Science and Technology Bureau of Chengdu

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference50 articles.

1. Global prevalence of glaucoma and projections of glaucoma burden through 2040: a systematic review and meta-analysis;Tham;Ophthalmology,2014

2. The number of people with glaucoma worldwide in 2010 and 2020;Quigley;Br J Ophthalmol,2006

3. Novel therapies for glaucoma: a patent review (2013–2019);Guglielmi;Expert Opin Therapeut Patents,2019

4. Quantitative evaluation of the optic nerve head in early glaucoma;Garway-Heath;Br J Ophthalmol,1998

5. Ranking of optic disc variables for detection of glaucomatous optic nerve damage;Jonas;Investig Ophthalmol Visual Sci,2000

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1. A multi-scale convolutional neural network with adaptive weight fusion strategy for assisting glaucoma screening;Biomedical Signal Processing and Control;2024-12

2. LC-MANet: Location-constrained joint optic disc and cup segmentation via multiplex aggregation network;Computers and Electrical Engineering;2024-09

3. Optic disc pallor diagnosis using ROMF based optic disc segmentation in fundus images;Multimedia Tools and Applications;2024-08-02

4. SAMCF: Adaptive global style alignment and multi-color spaces fusion for joint optic cup and disc segmentation;Computers in Biology and Medicine;2024-08

5. Multiscale triplet spatial information fusion-based deep learning method to detect retinal pigment signs with fundus images;Engineering Applications of Artificial Intelligence;2024-07

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