Artificial intelligence for ocular oncology

The aim of this article is to provide an update on the latest applications of deep learning (DL) and classical machine learning (ML) techniques to the detection and prognostication of intraocular and ocular surface malignancies. RECENT FINDINGS: Most recent studies focused on using DL and classical...

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Detalles Bibliográficos
Autores principales: Koseoglu, Neslihan Dilruba, Corrêa, Zélia Maria, Liu, T.Y. Alvin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
ARTIFICIAL INTELLIGENCE/BIG DATA: Edited by Daniel Ting and Ehsan Rahimy
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10399931/
https://www.ncbi.nlm.nih.gov/pubmed/37326226
http://dx.doi.org/10.1097/ICU.0000000000000982

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10399931/
https://www.ncbi.nlm.nih.gov/pubmed/37326226
http://dx.doi.org/10.1097/ICU.0000000000000982

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