Automated Classification of Colorectal Neoplasms in White-Light Colonoscopy Images via Deep Learning

Background: Classification of colorectal neoplasms during colonoscopic examination is important to avoid unnecessary endoscopic biopsy or resection. This study aimed to develop and validate deep learning models that automatically classify colorectal lesions histologically on white-light colonoscopy...

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Detalles Bibliográficos
Autores principales: Yang, Young Joo, Cho, Bum-Joo, Lee, Myung-Je, Kim, Ju Han, Lim, Hyun, Bang, Chang Seok, Jeong, Hae Min, Hong, Ji Taek, Baik, Gwang Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7291169/
https://www.ncbi.nlm.nih.gov/pubmed/32456309
http://dx.doi.org/10.3390/jcm9051593

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7291169/
https://www.ncbi.nlm.nih.gov/pubmed/32456309
http://dx.doi.org/10.3390/jcm9051593

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