Pathological Brain Detection

• Main Authors: Wang, Shui-Hua (Author, http://id.loc.gov/vocabulary/relators/aut), Zhang, Yu-Dong (http://id.loc.gov/vocabulary/relators/aut), Dong, Zhengchao (http://id.loc.gov/vocabulary/relators/aut), Phillips, Preetha (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Brain Informatics and Health,
• Subjects: Optical data processing.; Pattern recognition.; Radiology.; Neuroradiology.; Image Processing and Computer Vision.; Pattern Recognition.; Diagnostic Radiology.

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 additio...

Table of Contents:

• 1 Basics of Pathological Brain Detection (PBD)
• 2 Neuroimaging Modalities: Strengths and Weaknesses
• 3 Image Preprocessing for Pathological Brain Detection: A Summary
• 4 Canonical Feature Extraction Methods for Structural Magnetic Resonance Imaging
• 5 Multi-scale and Multi-resolution Features for Structural Magnetic Resonance Imaging
• 6 Dimensionality Reduction of Brain Image Features
• 7 Classification Methods for Pathological Brain Detection
• 8 Weight Optimization of Classifiers for Pathological Brain Detection
• 9 Comparison of Current PBD Systems.