Chapter 1 What Is Machine Learning?

Chapter 2 Computational Learning Theory

Chapter 3 Machine Learning Methodology

Chapter 5 Informatics in Radiation Oncology

Chapter 6 Application of Machine Learning for Multicenter Learning

Chapter 7 Computerized Detection of Lesions in Diagnostic Images

Chapter 8 Classification of Malignant and Benign Tumors

Chapter 9 Image-Guided Radiotherapy with Machine Learning

Chapter 10 Knowledge-Based Treatment Planning

Chapter 11 Artificial Neural Networks to Emulate and Compensate Breathing Motion During Radiation Therapy

Chapter 12 Image-Based Motion Correction

Chapter 13 Detection and Prediction of Radiotherapy Errors

Chapter 14 Treatment Planning Validation

Chapter 15 Treatment Delivery Validation

Chapter 16 Bioinformatics of Treatment Response

Chapter 17 Modelling of Normal Tissue Complication Probabilities (NTCP): Review of Application of Machine Learning in Predicting NTCP

Chapter 18 Modeling of Tumor Control Probability (TCP)