Impact of the Volume and Distribution of Training Datasets in the Development of Deep-Learning Models for the Diagnosis of Colorectal Polyps in Endoscopy Images

Background: Establishment of an artificial intelligence model in gastrointestinal endoscopy has no standardized dataset. The optimal volume or class distribution of training datasets has not been evaluated. An artificial intelligence model was previously created by the authors to classify endoscopic...

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Detalles Bibliográficos
Autores principales: Gong, Eun Jeong, Bang, Chang Seok, Lee, Jae Jun, Yang, Young Joo, Baik, Gwang Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9505038/
https://www.ncbi.nlm.nih.gov/pubmed/36143146
http://dx.doi.org/10.3390/jpm12091361

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9505038/
https://www.ncbi.nlm.nih.gov/pubmed/36143146
http://dx.doi.org/10.3390/jpm12091361

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