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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Detalles Bibliográficos
Autores principales: Wang, Chengdi, Shao, Jun, Lv, Junwei, Cao, Yidi, Zhu, Chaonan, Li, Jingwei, Shen, Wei, Shi, Lei, Liu, Dan, Li, Weimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Neoplasia Press 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8184655/
https://www.ncbi.nlm.nih.gov/pubmed/34087705
http://dx.doi.org/10.1016/j.tranon.2021.101141

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8184655/
https://www.ncbi.nlm.nih.gov/pubmed/34087705
http://dx.doi.org/10.1016/j.tranon.2021.101141

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