Deep learning with test-time augmentation for radial endobronchial ultrasound image differentiation: a multicentre verification study

PURPOSE: Despite the importance of radial endobronchial ultrasound (rEBUS) in transbronchial biopsy, researchers have yet to apply artificial intelligence to the analysis of rEBUS images. MATERIALS AND METHODS: This study developed a convolutional neural network (CNN) to differentiate between malign...

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Detalles Bibliográficos
Autores principales: Yu, Kai-Lun, Tseng, Yi-Shiuan, Yang, Han-Ching, Liu, Chia-Jung, Kuo, Po-Chih, Lee, Meng-Rui, Huang, Chun-Ta, Kuo, Lu-Cheng, Wang, Jann-Yuan, Ho, Chao-Chi, Shih, Jin-Yuan, Yu, Chong-Jen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Lung Cancer
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10401203/
https://www.ncbi.nlm.nih.gov/pubmed/37532473
http://dx.doi.org/10.1136/bmjresp-2022-001602

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10401203/
https://www.ncbi.nlm.nih.gov/pubmed/37532473
http://dx.doi.org/10.1136/bmjresp-2022-001602

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