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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Dades bibliogràfiques
Publicat a:PLoS One
Autors principals: 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
Format: Artigo
Idioma:Inglês
Publicat: Public Library of Science 2020
Matèries:
Research Article
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7595411/
https://ncbi.nlm.nih.gov/pubmed/33119718
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0241474
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