Reduced detection rate of artificial intelligence in images obtained from untrained endoscope models and improvement using domain adaptation algorithm

A training dataset that is limited to a specific endoscope model can overfit artificial intelligence (AI) to its unique image characteristics. The performance of the AI may degrade in images of different endoscope model. The domain adaptation algorithm, i.e., the cycle-consistent adversarial network...

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Detalles Bibliográficos
Autores principales: Park, Junseok, Hwang, Youngbae, Kim, Hyun Gun, Lee, Joon Seong, Kim, Jin-Oh, Lee, Tae Hee, Jeon, Seong Ran, Hong, Su Jin, Ko, Bong Min, Kim, Seokmin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9684642/
https://www.ncbi.nlm.nih.gov/pubmed/36438041
http://dx.doi.org/10.3389/fmed.2022.1036974

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9684642/
https://www.ncbi.nlm.nih.gov/pubmed/36438041
http://dx.doi.org/10.3389/fmed.2022.1036974

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