A deep learning based framework for the classification of multi- class capsule gastroscope image in gastroenterologic diagnosis

Purpose: The purpose of this paper is to develop a method to automatic classify capsule gastroscope image into three categories to prevent high-risk factors for carcinogenesis, such as atrophic gastritis (AG). The purpose of this research work is to develop a deep learning framework based on transfe...

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Detalles Bibliográficos
Autores principales: Xiao, Ping, Pan, Yuhang, Cai, Feiyue, Tu, Haoran, Liu, Junru, Yang, Xuemei, Liang, Huanling, Zou, Xueqing, Yang, Li, Duan, Jueni, Xv, Long, Feng, Lijuan, Liu, Zhenyu, Qian, Yun, Meng, Yu, Du, Jingfeng, Mei, Xi, Lou, Ting, Yin, Xiaoxv, Tan, Zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9716070/
https://www.ncbi.nlm.nih.gov/pubmed/36467700
http://dx.doi.org/10.3389/fphys.2022.1060591

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9716070/
https://www.ncbi.nlm.nih.gov/pubmed/36467700
http://dx.doi.org/10.3389/fphys.2022.1060591

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