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

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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Bibliographic Details
Main Authors: Ping Xiao, Yuhang Pan, Feiyue Cai, Haoran Tu, Junru Liu, Xuemei Yang, Huanling Liang, Xueqing Zou, Li Yang, Jueni Duan, Long Xv, Lijuan Feng, Zhenyu Liu, Yun Qian, Yu Meng, Jingfeng Du, Xi Mei, Ting Lou, Xiaoxv Yin, Zhen Tan
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Physiology
Subjects:
capsule gastroscope
gastric diseases
diagnosis
deep learning
transfer learning
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2022.1060591/full

Internet

https://www.frontiersin.org/articles/10.3389/fphys.2022.1060591/full

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