Hybrid convolutional neural network optimized with an artificial algae algorithm for glaucoma screening using fundus images
Based on statistical Friedman evaluation, AAASVM was the best glaucoma screening model. Segmented and classified images can be directed to the health care system to assess patients' progress. This computer-aided decision support system will be useful for optometrists.
Authors
- S. Balamurali (ORCID: https://orcid.org/0000-0002-3010-245X)
- M. Shanmuga Eswari
- Lakshmana Kumar Ramasamy (ORCID: https://orcid.org/0000-0002-0643-6599)
Institutions
- Higher Colleges of Technology (AE)
- Kalasalingam Academy of Research and Education (IN)
Publication Details
- Journal
- Journal of International Medical Research
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1177/03000605241271766
- Citations
- 4
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.62