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, physics2015Vol. 93pp. -
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 …