Artificial intelligence and machine learning in ocular oncology, retinoblastoma (ArMOR)

These observations show that expanding the image datasets, as well as testing and retesting AI models, helps identify deficiencies in the AI/ML model and improves its accuracy.

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Institutions

Publication Details

Journal
Indian Journal of Ophthalmology
Published
2025-04-24
DOI
https://doi.org/10.4103/ijo.ijo_1768_24
Citations
1
Primary Topic
Ocular Oncology and Treatments
Type
article
Field-Weighted Citation Impact
1.71
Controls
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article

Artificial intelligence and machine learning in ocular oncology, retinoblastoma (ArMOR)

Gaurav Patil, Rajiv Viriyala, Swathi Kaliki, Vijitha S. Vempuluru et al.
1 citations
Indian Journal of Ophthalmology
Ocular Oncology and Treatments
1.71
article

Artificial intelligence and machine learning in ocular oncology, retinoblastoma (ArMOR)

Gaurav Patil, Rajiv Viriyala, Swathi Kaliki, Vijitha S. Vempuluru, Krishna Kishore Dhara
article en
1 citations

Abstract

These observations show that expanding the image datasets, as well as testing and retesting AI models, helps identify deficiencies in the AI/ML model and improves its accuracy.

Indian Journal of OphthalmologyVol. 73(5)
L V Prasad Eye Institute (IN)
Openalex Percentile: Top 19%
Ocular Oncology and Treatments
1.71
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