Springer 2018. — 237 p. — (Brain Informatics and Health). — ISBN: 9811040257.
This book provides detailed practical guidelines on how to develop an efficient pathological brain detection system, reflecting the latest advances in the computer-aided diagnosis of structural magnetic resonance brain images. MatLAB codes are provided for most of the functions described. In addition, the book equips readers to easily develop the pathological brain detection system further on their own and apply the technologies to other research fields, such as Alzheimer's detection, multiple sclerosis detection, etc.
Basics of Pathological Brain Detection
Neuroimaging Modalities
Image Preprocessing for Pathological Brain Detection
Canonical Feature Extraction Methods for Structural Magnetic Resonance Imaging
Multi-scale and Multi-resolution Features for Structural Magnetic Resonance Imaging
Wavelet Families and Variants
Dimensionality Reduction of Brain Image Features
Classification Methods for Pathological Brain Detection
Weight Optimization of Classifiers for Pathological Brain Detection
Comparison of Artificial Intelligence–Based Pathological Brain Detection Systems
Deep Learning for Cerebral Microbleed Identification