HRDC challenge: a public benchmark for hypertension and hypertensive retinopathy classification from fundus images-Reference-Cited by-同舟云学术

HRDC challenge: a public benchmark for hypertension and hypertensive retinopathy classification from fundus images

Published:2024-06-08 Issue: Volume: Page:
ISSN:0178-2789
Container-title:The Visual Computer
language:en
Short-container-title:Vis Comput

Author:

Qian Bo,Wang Xiangning,Guan Zhouyu,Yang Dawei,Ran Anran,Li Tingyao,Wang Zheyuan,Wen Yang,Shu Xinming,Xie Jinyang,Liu Shichang,Xing Guanyu,Silva-Rodríguez Julio,Kobbi Riadh,Li Ping,Chen Tingli,Bi Lei,Kim Jinman,Jia Weiping,Li Huating,Qin Jing,Zhang Ping,Cheng Ching-Yu,Heng Pheng-Ann,Wong Tien Yin,Cheung Carol Y.,Tham Yih-Chung,Thalmann Nadia Magnenat,Sheng Bin

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00371-024-03384-5.pdf

Reference49 articles.

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2. Abbas, Q., Qureshi, I., Ibrahim, M.E.: An automatic detection and classification system of five stages for hypertensive retinopathy using semantic and instance segmentation in densenet architecture. Sensors 21(20), 6936 (2021)

3. Akbar, S., Akram, M.U., Sharif, M., Tariq, A., Khan, S.A.: Decision support system for detection of hypertensive retinopathy using arteriovenous ratio. Artif. Intell. Med. 90, 15–24 (2018)

4. Arsalan, M., Haider, A., Choi, J., Park, K.R.: Diabetic and hypertensive retinopathy screening in fundus images using artificially intelligent shallow architectures. J. Pers. Med. 12(1), 7 (2021)

5. Badawi, S.A., Fraz, M.M., Shehzad, M., Mahmood, I., Javed, S., Mosalam, E., Nileshwar, A.K.: Detection and grading of hypertensive retinopathy using vessels tortuosity and arteriovenous ratio. J. Digit. Imaging. pp. 1–21 (2022)

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