Deep learning-based classification of mesothelioma improves prediction of patient outcome
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Biochemistry, Genetics and Molecular Biology,General Medicine
Link
http://www.nature.com/articles/s41591-019-0583-3.pdf
Reference38 articles.
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2. Galateau-Sallé, F. et al. New insights on diagnostic reproducibility of biphasic mesotheliomas: a multi-institutional evaluation by the International Mesothelioma Panel from the MESOPATH reference center. J. Thorac. Oncol. 13, 1189–1203 (2018).
3. Noonan, C. W. Environmental asbestos exposure and mesothelioma. Ann. Transl. Med. 5, 234 (2017).
4. Lacourt, A. et al. Dose–time-response association between occupational asbestos exposure and pleural mesothelioma. Occup. Environ. Med. 74, 691–697 (2017).
5. Robinson, B. W. S. & Lake, R. A. Advances in malignant mesothelioma. N. Engl. J. Med. 353, 1591–1603 (2005).
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