Establishing an AI model and application for automated capsule endoscopy recognition based on convolutional neural networks (with video)

Establishing an AI model and application for automated capsule endoscopy recognition based on convolutional neural networks (with video)

Abstract Background Although capsule endoscopy (CE) is a crucial tool for diagnosing small bowel diseases, the need to process a vast number of images imposes a significant workload on physicians, leading to a high risk of missed diagnoses. This study aims to develop an artificial intelligence (AI)...

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Bibliographic Details
Main Authors: Jian Chen, Kaijian Xia, Zihao Zhang, Yu Ding, Ganhong Wang, Xiaodan Xu
Format: Article
Language:English
Published: BMC 2024-11-01
Series:BMC Gastroenterology
Subjects:
Capsule endoscopy
Artificial intelligence
Application
Convolutional neural networks
PyQt5
Online Access:https://doi.org/10.1186/s12876-024-03482-7
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Internet

https://doi.org/10.1186/s12876-024-03482-7

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