Machine Learning Approaches for Predicting Radiation Therapy Outcomes: A Clinician's Perspective

Machine Learning Approaches for Predicting Radiation Therapy Outcomes: A Clinician's Perspective

Kang J;Schwartz R;Flickinger J;Beriwal S;;
international journal of radiation oncology, biology, physics 2015 Vol. 93 pp. -
401
j2015internationalmachine

Abstract

Radiation oncology has always been deeply rooted in modeling, from the early days of isoeffect curves to the contemporary Quantitative Analysis of Normal Tissue Effects in the Clinic (QUANTEC) initiative. In recent years, medical modeling for both prognostic and therapeutic purposes has exploded tha …

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