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For: Huang C, Zong Y, Ding Y, Luo X, Clawson K, Peng Y. A new deep learning approach for the retinal hard exudates detection based on superpixel multi-feature extraction and patch-based CNN. Neurocomputing 2021. [DOI: 10.1016/j.neucom.2020.07.145] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Number Cited by Other Article(s)
1
Park D, Kim KL, Park SP, Kim YK. Comparison of quantification of intraretinal hard exudates between optical coherence tomography en face image versus fundus photography. Indian J Ophthalmol 2024;72:S280-S296. [PMID: 38271424 PMCID: PMC11624656 DOI: 10.4103/ijo.ijo_1986_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 12/06/2023] [Accepted: 12/11/2023] [Indexed: 01/27/2024]  Open
2
Wang S, Chen Y, Yi Z. Modified U-Net Architecture for Diabetic Retinopathy Fundus Image Segmentation. 2023 INTERNATIONAL ANNUAL CONFERENCE ON COMPLEX SYSTEMS AND INTELLIGENT SCIENCE (CSIS-IAC) 2023:527-532. [DOI: 10.1109/csis-iac60628.2023.10363999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2025]
3
Kusakunniran W, Karnjanapreechakorn S, Choopong P, Siriapisith T, Tesavibul N, Phasukkijwatana N, Prakhunhungsit S, Boonsopon S. Detecting and staging diabetic retinopathy in retinal images using multi-branch CNN. APPLIED COMPUTING AND INFORMATICS 2022. [DOI: 10.1108/aci-06-2022-0150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
4
Xu GX, Ren CX. SPNet: A novel deep neural network for retinal vessel segmentation based on shared decoder and pyramid-like loss. Neurocomputing 2022. [DOI: 10.1016/j.neucom.2022.12.039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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