Automatic Classification of GI Organs in Wireless Capsule Endoscopy Using a No-Code Platform-Based Deep Learning Model

The first step in reading a capsule endoscopy (CE) is determining the gastrointestinal (GI) organ. Because CE produces too many inappropriate and repetitive images, automatic organ classification cannot be directly applied to CE videos. In this study, we developed a deep learning algorithm to classi...

Descripción completa

Detalles Bibliográficos
Autores principales: Chung, Joowon, Oh, Dong Jun, Park, Junseok, Kim, Su Hwan, Lim, Yun Jeong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137357/
https://www.ncbi.nlm.nih.gov/pubmed/37189489
http://dx.doi.org/10.3390/diagnostics13081389

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137357/
https://www.ncbi.nlm.nih.gov/pubmed/37189489
http://dx.doi.org/10.3390/diagnostics13081389

Ejemplares similares