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However, most existing methods either have unsatisfactory segmentation accuracy or high time costs. In this paper, we propose a lightweight deep-learning architecture for the simultaneous segmentation of the OC and OD, where we have adopted fuzzy learning and a multi-layer perceptron to simplify the learning complexity and improve segmentation accuracy. Experimental results demonstrate the superiority of our proposed method as compared to most state-of-the-art approaches in terms of both training time and segmentation accuracy.<\/p>\n\n<\/abstract><\/jats:p>","DOI":"10.3934\/mbe.2024225","type":"journal-article","created":{"date-parts":[[2024,3,4]],"date-time":"2024-03-04T10:18:37Z","timestamp":1709547517000},"page":"5092-5117","source":"Crossref","is-referenced-by-count":11,"title":["A novel lightweight deep learning approach for simultaneous optic cup and optic disc segmentation in glaucoma detection"],"prefix":"10.3934","volume":"21","author":[{"given":"Yantao","family":"Song","sequence":"first","affiliation":[{"name":"Institute of Big Data Science and Industry, Shanxi University, Taiyuan 030006, China"},{"name":"School of Computer and Information Technology, Shanxi University, Taiyuan 030006, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenjie","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Big Data Science and Industry, Shanxi University, Taiyuan 030006, China"},{"name":"School of Computer and Information Technology, Shanxi University, Taiyuan 030006, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yue","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer and Information Technology, Shanxi University, Taiyuan 030006, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2321","reference":[{"key":"key-10.3934\/mbe.2024225-1","doi-asserted-by":"publisher","unstructured":"V. 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