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Synthetic Medical Images for Robust, Privacy-Preserving Training of Artificial Intelligence: Application to Retinopathy of Prematurity Diagnosis

PURPOSE: Developing robust artificial intelligence (AI) models for medical image analysis requires large quantities of diverse, well-chosen data that can prove challenging to collect because of privacy concerns, disease rarity, or diagnostic label quality. Collecting image-based datasets for retinop...

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Detalles Bibliográficos
Autores principales:	Coyner, Aaron S., Chen, Jimmy S., Chang, Ken, Singh, Praveer, Ostmo, Susan, Chan, R. V. Paul, Chiang, Michael F., Kalpathy-Cramer, Jayashree, Campbell, J. Peter
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier 2022
Materias:	Artificial Intelligence and Big Data
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9560638/ https://www.ncbi.nlm.nih.gov/pubmed/36249693 http://dx.doi.org/10.1016/j.xops.2022.100126

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