Distinguishing bronchoscopically observed anatomical positions of airway under by convolutional neural network

Distinguishing bronchoscopically observed anatomical positions of airway under by convolutional neural network

Background: Artificial intelligence (AI) technology has been used for finding lesions via gastrointestinal endoscopy. However, there were few AI-associated studies that discuss bronchoscopy. Objectives: To use convolutional neural network (CNN) to recognize the observed anatomical positions of the a...

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Bibliographic Details
Main Authors: Chongxiang Chen, Felix JF Herth, Yingnan Zuo, Hongjia Li, Xinyuan Liang, Yaqing Chen, Jiangtao Ren, Wenhua Jian, Changhao Zhong, Shiyue Li
Format: Article
Language:English
Published: SAGE Publishing 2023-08-01
Series:Therapeutic Advances in Chronic Disease
Online Access:https://doi.org/10.1177/20406223231181495

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https://doi.org/10.1177/20406223231181495

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