Adaptive weighted locality-constrained sparse coding for glaucoma diagnosis-Reference-Cited by-同舟云学术

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Adaptive weighted locality-constrained sparse coding for glaucoma diagnosis

Published:2019-07-27 Issue:9 Volume:57 Page:2055-2067
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med Biol Eng Comput

Author:

Zhou Wei^ORCID,Yi Yugen,Bao Jining,Wang Wenle

Funder

National Natural Science Foundation of China

the Science and Technology Research Project of Jiangxi Provincial Department of Education

the Natural Science Foundation of Jiangxi Province

the Project of Doctoral Foundation of Shenyang Aerospace University

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11517-019-02011-z.pdf

Reference50 articles.

1. Xu Y et al (2013) Efficient reconstruction-based optic cup localization for glaucoma screening. In: International conference on medical image computing and computer-assisted intervention. Springer, Berlin, Heidelberg, pp 445–452

2. Chakravarty A, Sivaswamy J (2016) Glaucoma classification with a fusion of segmentation and image-based features. In: 2016 IEEE 13th international symposium on biomedical imaging (ISBI). IEEE, pp 689–692

3. Cheng J, Liu J, Xu Y, Yin F, Wong DWK, Tan NM, Tao D, Cheng CY, Aung T, Wong TY (2013) Superpixel classification based optic disc and optic cup segmentation for glaucoma screening. IEEE Trans Med Imaging 32(6):1019–1032

4. dos Santos Ferreira Marcos V et al (2018) Convolutional neural network and texture descriptor-based automatic detection and diagnosis of glaucoma. Expert Syst Appl 110:250–263

5. Wang S, Yu L, Yang X, Fu CW, Heng PA (2019) Patch-based output space adversarial learning for joint optic disc and cup segmentation. IEEE Trans Med Imaging 99:1–1. https://doi.org/10.1109/TMI.2019.2899910

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