Deep learning classification of lung cancer histology using CT images
Abstract 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 radio...
Main Authors: | Tafadzwa L. Chaunzwa, Ahmed Hosny, Yiwen Xu, Andrea Shafer, Nancy Diao, Michael Lanuti, David C. Christiani, Raymond H. Mak, Hugo J. W. L. Aerts |
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Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2021-03-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-021-84630-x |
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