Automatic classification of esophageal lesions in endoscopic images using a convolutional neural network

BACKGROUND: Using deep learning techniques in image analysis is a dynamically emerging field. This study aims to use a convolutional neural network (CNN), a deep learning approach, to automatically classify esophageal cancer (EC) and distinguish it from premalignant lesions. METHODS: A total of 1,27...

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Detalles Bibliográficos
Autores principales: Liu, Gaoshuang, Hua, Jie, Wu, Zhan, Meng, Tianfang, Sun, Mengxue, Huang, Peiyun, He, Xiaopu, Sun, Weihao, Li, Xueliang, Chen, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7210177/
https://www.ncbi.nlm.nih.gov/pubmed/32395530
http://dx.doi.org/10.21037/atm.2020.03.24

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7210177/
https://www.ncbi.nlm.nih.gov/pubmed/32395530
http://dx.doi.org/10.21037/atm.2020.03.24

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