Machine Learning and Radiogenomics: Lessons Learned and Future Directions
Due to the rapid increase in the availability of patient data, there is significant interest in precision medicine that could facilitate the development of a personalized treatment plan for each patient on an individual basis. Radiation oncology is particularly suited for predictive machine learning...
Main Authors: | John Kang, Tiziana Rancati, Sangkyu Lee, Jung Hun Oh, Sarah L. Kerns, Jacob G. Scott, Russell Schwartz, Seyoung Kim, Barry S. Rosenstein |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2018-06-01
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Series: | Frontiers in Oncology |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fonc.2018.00228/full |
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