Deep learning classification of lung cancer histology using CT images

Tumor histology is an important predictor of therapeutic response and outcomes in lung cancer. Tissue sampling for pathologist review is the most reliable method for histology classification, however, recent advances in deep learning for medical image analysis allude to the utility of radiologic dat...

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Detalles Bibliográficos
Autores principales: Chaunzwa, Tafadzwa L., Hosny, Ahmed, Xu, Yiwen, Shafer, Andrea, Diao, Nancy, Lanuti, Michael, Christiani, David C., Mak, Raymond H., Aerts, Hugo J. W. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7943565/
https://www.ncbi.nlm.nih.gov/pubmed/33727623
http://dx.doi.org/10.1038/s41598-021-84630-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7943565/
https://www.ncbi.nlm.nih.gov/pubmed/33727623
http://dx.doi.org/10.1038/s41598-021-84630-x

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