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. Author manuscript; available in PMC: 2018 Oct 16.
Published in final edited form as: Int J Radiat Oncol Biol Phys. 2018 Apr 24;101(5):1179–1187. doi: 10.1016/j.ijrobp.2018.04.044

Fig. 3.

Fig. 3.

Diagram of machine-learning protocol used in study. Patients were stratified into 1 of 3 cohorts (2 independent training cohorts and 1 test cohort). Magnetic resonance imaging (MRI) values were used as input features to predict epithelium and lumen density. Two independent models were produced using the 2 training sets. Both derived models were then applied to the same test cohort. Abbreviations: ADC = apparent diffusion coefficient; PLS = partial least squares; ROC = receiver operating characteristic.