Efficacy of a comprehensive binary classification model using a deep convolutional neural network for wireless capsule endoscopy

The manual reading of capsule endoscopy (CE) videos in small bowel disease diagnosis is time-intensive. Algorithms introduced to automate this process are premature for real clinical applications, and multi-diagnosis using these methods has not been sufficiently validated. Therefore, we developed a...

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Detalles Bibliográficos
Autores principales: Kim, Sang Hoon, Hwang, Youngbae, Oh, Dong Jun, Nam, Ji Hyung, Kim, Ki Bae, Park, Junseok, Song, Hyun Joo, Lim, Yun Jeong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8410868/
https://www.ncbi.nlm.nih.gov/pubmed/34471156
http://dx.doi.org/10.1038/s41598-021-96748-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8410868/
https://www.ncbi.nlm.nih.gov/pubmed/34471156
http://dx.doi.org/10.1038/s41598-021-96748-z

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