Automatic diagnosis of multiple fundus lesions based on depth graph neural network-Reference-Cited by-同舟云学术

Automatic diagnosis of multiple fundus lesions based on depth graph neural network

Published:2023-05 Issue:5 Volume:19 Page:307-315
ISSN:1673-1905
Container-title:Optoelectronics Letters
language:en
Short-container-title:Optoelectron. Lett.

Author:

Jiang Jiewei,Guo Liufei,Liu Wei,Wu Chengchao,Gong Jiamin,Li Zhongwen

Publisher

Springer Science and Business Media LLC

Subject

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

Link

https://link.springer.com/content/pdf/10.1007/s11801-023-2204-0.pdf

Reference33 articles.

1. YE H, ZHANG Q, LIU X, et al. Prevalence of age-related macular degeneration in an elderly urban chinese population in China: the Jiangning eye study[J]. Investigative ophthalmology & visual science, 2014, 55(10): 6374–6380.

2. SONG L, LIN J, WANG Z J, et al. An end-to-end multi-task deep learning framework for skin lesion analysis[J]. IEEE journal of biomedical and health informatics, 2020, 24(10): 2912–2921.

3. OGURTSOVA K, DA ROCHA FERNANDES J, HUANG Y, et al. Idf diabetes atlas: global estimates for the prevalence of diabetes for 2015 and 2040[J]. Diabetes research and clinical practice, 2017, 128: 40–50.

4. MUKAIDA M, OKAMI Y, SUETAKE N, et al. Contour line extraction of vein with use of special tracking strategy and fuzzy inference for arteriosclerosis diagnosis of retinal blood vessel[C]//IECON 2020 the 46th Annual Conference of the IEEE Industrial Electronics Society, October 18–21, 2020, Singapore. New York: IEEE, 2020: 435–440.

5. LAI X, LI X, QIAN R, et al. Four models for automatic recognition of left and right eye in fundus images[C]//MultiMedia Modeling: 25th International Conference, January 8–11, 2019, Thessaloniki, Greece. Berlin: Springer, 2019: 507–517.