Distinguishing nontuberculous mycobacteria from Mycobacterium tuberculosis lung disease from CT images using a deep learning framework

PURPOSE: To develop and evaluate the effectiveness of a deep learning framework (3D-ResNet) based on CT images to distinguish nontuberculous mycobacterium lung disease (NTM-LD) from Mycobacterium tuberculosis lung disease (MTB-LD). METHOD: Chest CT images of 301 with NTM-LD and 804 with MTB-LD confi...

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Detalhes bibliográficos
Publicado no:Eur J Nucl Med Mol Imaging
Main Authors: Wang, Li, Ding, Wenlong, Mo, Yan, Shi, Dejun, Zhang, Shuo, Zhong, Lingshan, Wang, Kai, Wang, Jigang, Huang, Chencui, Zhang, Shu, Ye, Zhaoxiang, Shen, Jun, Xing, Zhiheng
Formato: Artigo
Idioma:Inglês
Publicado em: Springer Berlin Heidelberg 2021
Assuntos:
Original Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8205608/
https://ncbi.nlm.nih.gov/pubmed/34131803
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00259-021-05432-x
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