Deep learning for predicting subtype classification and survival of lung adenocarcinoma on computed tomography

OBJECTIVES: The subtype classification of lung adenocarcinoma is important for treatment decision. This study aimed to investigate the deep learning and radiomics networks for predicting histologic subtype classification and survival of lung adenocarcinoma diagnosed through computed tomography (CT)...

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Detalhes bibliográficos
Publicado no:Transl Oncol
Main Authors: Wang, Chengdi, Shao, Jun, Lv, Junwei, Cao, Yidi, Zhu, Chaonan, Li, Jingwei, Shen, Wei, Shi, Lei, Liu, Dan, Li, Weimin
Formato: Artigo
Idioma:Inglês
Publicado em: Neoplasia Press 2021
Assuntos:
Original Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8184655/
https://ncbi.nlm.nih.gov/pubmed/34087705
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.tranon.2021.101141
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