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Strategies for feature enhancement and class balance optimization in glaucoma optic disc and cup segmentation

Luo Min1
Cao Lu1
Zeng Junying1
Mai Chaoyun1
Huang Xiuqing2
Zhao Feifei1
He Xiquan1
1. School of Electronics and Information Engineering, Wuyi University, Jiangmen 529020, China
2. Dept. of Ophthalmology, Jiangmen People's Hospital, Jiangmen 529000, China

Abstract

To enhance the segmentation accuracy of the optic disc and optic cup and assist in the early diagnosis of glaucoma, an improved deep separable multi-scale aggregation network based on the U-Net architecture (Depthwise Separable Multi-scale Aggregation Network, DSMA-Net) is proposed. First, an adaptive separable multi-scale attention module is introduced to enhance feature representation and effectively capture the complex structures of the optic disc and cup, thereby reducing boundary blurring. Second, some traditional convolutions in the network are replaced with depthwise separable convolutions to reduce computational complexity and improve model efficiency. Additionally, an improved adaptive weighted Tversky loss function is used to focus the network on optic disc and cup pixels, alleviating the dominance of background pixels and further improving segmentation accuracy. Experimental results show that DSMA-Net has significant advantages in optic disc and cup segmentation tasks on the DRISHTI-GS, RIM-ONE-R3, and ORIGA datasets, providing strong technical support for early glaucoma diagnosis.

Foundation Support

广东普通高校重点领域专项(2024ZDZX1009、2022ZDZX1033)
江门市省科技创新战略专项项目计划(江科[2023]72号)
江门市医疗卫生科技计划项目(2025YL03026)
江门市基础理论科研科技计划项目(2023JC010039)
五邑大学大学生创新创业训练计划项目(X202511349050)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.05.0224
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 2

Publish History

[2025-11-03] Accepted Paper

Cite This Article

罗敏, 曹路, 曾军英, 等. 青光眼视盘视杯分割中的特征增强与类平衡优化策略 [J]. 计算机应用研究, 2026, 43 (2). (2025-11-04). https://doi.org/10.19734/j.issn.1001-3695.2025.05.0224. (Luo Min, Cao Lu, Zeng Junying, et al. Strategies for feature enhancement and class balance optimization in glaucoma optic disc and cup segmentation [J]. Application Research of Computers, 2026, 43 (2). (2025-11-04). https://doi.org/10.19734/j.issn.1001-3695.2025.05.0224. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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