Explainable AI-driven diagnosis model for early glaucoma detection using grey-wolf optimized extreme learning machine approach.
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| Title: | Explainable AI-driven diagnosis model for early glaucoma detection using grey-wolf optimized extreme learning machine approach. |
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| Authors: | Muduli D; Department of Computer Science and Engineering, C.V. Raman Global University, Bhubaneswar, Odisha, India., Sharma SK; Department of Computer Science and Engineering, C.V. Raman Global University, Bhubaneswar, Odisha, India., Dash S; Department of Information Technology, School of Engineering and Technology, Nagaland University, Meriema, Nagaland, India., Lemos B; Department of Environmental Health, Harvard T H Chan School of Public Health, Boston, Massachusetts, United States of America.; Department of Pharmacology & Toxicology, University of Arizona, Tucson, Arizona, United States of America., Mallik S; Department of Environmental Health, Harvard T H Chan School of Public Health, Boston, Massachusetts, United States of America.; Department of Pharmacology & Toxicology, University of Arizona, Tucson, Arizona, United States of America. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2026 May 04; Vol. 22 (5), pp. e1013139. Date of Electronic Publication: 2026 May 04 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1553-7358 |
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| DOI: | 10.1371/journal.pcbi.1013139 |
