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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Detalles Bibliográficos
Autores principales: Chen, Chongxiang, Herth, Felix JF, Zuo, Yingnan, Li, Hongjia, Liang, Xinyuan, Chen, Yaqing, Ren, Jiangtao, Jian, Wenhua, Zhong, Changhao, Li, Shiyue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10457519/
https://www.ncbi.nlm.nih.gov/pubmed/37637372
http://dx.doi.org/10.1177/20406223231181495

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10457519/
https://www.ncbi.nlm.nih.gov/pubmed/37637372
http://dx.doi.org/10.1177/20406223231181495

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