Chapter 1 Multi-modality Feature Learning in Diagnoses of Alzheimer’s Disease

Chapter 2 A Comparative Study of Modern Machine Learning Approaches for Focal Lesion Detection and Classification in Medical Images: BoVW, CNN and MTANN

Chapter 3 Introduction to Binary Coordinate Ascent: New Insights into Efficient Feature Subset Selection for Machine Learning

Chapter 4 Automated Lung Nodule Detection Using Positron Emission Tomography/Computed Tomography

Chapter 6 High-Order Statistics of Micro-Texton for HEp-2 Staining Pattern Classification

Chapter 7 Intelligent Diagnosis of Breast Cancer Based on Quantitative B-Mode and Elastography Features

Chapter 8 Categorization of Lung Tumors into Benign/Malignant, Solid/GGO, and Typical Benign/Others

Chapter 9 Fuzzy Object Growth Model for Neonatal Brain MR Understanding

Chapter 10 Computer-Aided Prognosis: Accurate Prediction of Patients with Neurologic and Psychiatric Diseases via Multi-modal MRI Analysis

Chapter 11 Radiomics in Medical Imaging—Detection, Extraction and Segmentation

Chapter 12 Markerless Tumor Gating and Tracking for Lung Cancer Radiotherapy based on Machine Learning Techniques

Chapter 13 Image Guided and Robot Assisted Precision Surgery