Elizabeth, J. Ruby and Kesavaraja, D. and Juliet, S. Ebenezer and Jagadeesh, S. and Shaffi, S. Samsudeen and Umanesan, R. (2025) Glaucoma Retinal Image Detection through the Segmentation of OD Using Modified Deep Learning Method. EAI Endorsed Transactions on Internet of Things.
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Abstract
Classifiers are the important processing module in any type of classification systems. This paper uses the proposed Modified LeNET (MLNET) classification architecture along with the standard LeNET to classify the retinal pictures into healthy cases and cases of glaucoma. This research work develops
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 20:22 |
| Last Modified: | 16 Apr 2026 15:44 |
| URI: | http://eprints.eai.eu/id/eprint/60377 |
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