Artificial intelligence and machine learning in ocular oncology: Retinoblastoma

PURPOSE: This study was done to explore the utility of artificial intelligence (AI) and machine learning in the diagnosis and grouping of intraocular retinoblastoma (iRB). METHODS: It was a retrospective observational study using AI and Machine learning, Computer Vision (OpenCV). RESULTS: Of 771 fun...

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Detalles Bibliográficos
Autores principales: Kaliki, Swathi, Vempuluru, Vijitha S, Ghose, Neha, Patil, Gaurav, Viriyala, Rajiv, Dhara, Krishna K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228959/
https://www.ncbi.nlm.nih.gov/pubmed/36727332
http://dx.doi.org/10.4103/ijo.IJO_1393_22

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228959/
https://www.ncbi.nlm.nih.gov/pubmed/36727332
http://dx.doi.org/10.4103/ijo.IJO_1393_22

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