A hybrid model for early diagnosis of ophthalmology diseases leveraging CNNs, SBOA optimization, and XAI for visualization.
- DOI
- 10.1007/s13246-026-01771-x
- Published
- 2026 Jul 16
- Container
- Physical and engineering sciences in medicine
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s13246-026-01771-x,
title = {A hybrid model for early diagnosis of ophthalmology diseases leveraging CNNs, SBOA optimization, and XAI for visualization.},
author = {Yildirim M and Karaduman M and Kiziloluk S and Cetintas D and Aksoy A},
year = {2026},
journal = {Physical and engineering sciences in medicine},
doi = {10.1007/s13246-026-01771-x},
url = {https://doi.org/10.1007/s13246-026-01771-x}
}RIS
TY - JOUR TI - A hybrid model for early diagnosis of ophthalmology diseases leveraging CNNs, SBOA optimization, and XAI for visualization. AU - Yildirim M AU - Karaduman M AU - Kiziloluk S AU - Cetintas D AU - Aksoy A PY - 2026 JO - Physical and engineering sciences in medicine DO - 10.1007/s13246-026-01771-x UR - https://doi.org/10.1007/s13246-026-01771-x ER -
APA
M, Y., M, K., S, K., D, C., & A, A. (2026). A hybrid model for early diagnosis of ophthalmology diseases leveraging CNNs, SBOA optimization, and XAI for visualization.. Physical and engineering sciences in medicine. https://doi.org/10.1007/s13246-026-01771-x
Source records
- pubmed · retrieved 2026-09-26T21:03:17.793Z