Deep learning PET/CT‐based radiomics integrates clinical data: A feasibility study to distinguish between tuberculosis nodules and lung cancer

BACKGROUND: Radiomic diagnosis models generally consider only a single dimension of information, leading to limitations in their diagnostic accuracy and reliability. The integration of multiple dimensions of information into the deep learning model have the potential to improve its diagnostic capabi...

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Detalles Bibliográficos
Autores principales: Zhang, Xiaolei, Dong, Xianling, Saripan, M. Iqbal bin, Du, Dongyang, Wu, Yanjun, Wang, Zhongxiao, Cao, Zhendong, Wen, Dong, Liu, Yanli, Marhaban, Mohammad Hamiruce
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons Australia, Ltd 2023
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10317593/
https://www.ncbi.nlm.nih.gov/pubmed/37183577
http://dx.doi.org/10.1111/1759-7714.14924

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10317593/
https://www.ncbi.nlm.nih.gov/pubmed/37183577
http://dx.doi.org/10.1111/1759-7714.14924

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