Machine Learning and Radiogenomics: Lessons Learned and Future Directions

Volume: 8
Published: Jun 21, 2018
Abstract
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 (ML) models due to the enormous amount of diagnostic data used as input and therapeutic data generated as output. An emerging field in precision...
Paper Details
Title
Machine Learning and Radiogenomics: Lessons Learned and Future Directions
Published Date
Jun 21, 2018
Volume
8
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.