Automatic Extraction of Lung Cancer Staging Information From Computed Tomography Reports: Deep Learning Approach

BACKGROUND: Lung cancer is the leading cause of cancer deaths worldwide. Clinical staging of lung cancer plays a crucial role in making treatment decisions and evaluating prognosis. However, in clinical practice, approximately one-half of the clinical stages of lung cancer patients are inconsistent...

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Detalles Bibliográficos
Autores principales: Hu, Danqing, Zhang, Huanyao, Li, Shaolei, Wang, Yuhong, Wu, Nan, Lu, Xudong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8339987/
https://www.ncbi.nlm.nih.gov/pubmed/34287213
http://dx.doi.org/10.2196/27955

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8339987/
https://www.ncbi.nlm.nih.gov/pubmed/34287213
http://dx.doi.org/10.2196/27955

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