Artificial intelligence that determines the clinical significance of capsule endoscopy images can increase the efficiency of reading

Artificial intelligence (AI), which has demonstrated outstanding achievements in image recognition, can be useful for the tedious capsule endoscopy (CE) reading. We aimed to develop a practical AI-based method that can identify various types of lesions and tried to evaluate the effectiveness of the...

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Detalles Bibliográficos
Autores principales: Park, Junseok, Hwang, Youngbae, Nam, Ji Hyung, Oh, Dong Jun, Kim, Ki Bae, Song, Hyun Joo, Kim, Su Hwan, Kang, Sun Hyung, Jung, Min Kyu, Jeong Lim, Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7595411/
https://www.ncbi.nlm.nih.gov/pubmed/33119718
http://dx.doi.org/10.1371/journal.pone.0241474

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7595411/
https://www.ncbi.nlm.nih.gov/pubmed/33119718
http://dx.doi.org/10.1371/journal.pone.0241474

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