Pathological Brain Detection [electronic resource] by Shui-Hua Wang, Yu-Dong Zhang, Zhengchao Dong, Preetha Phillips.

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...

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Bibliographic Details
Uniform Title:Brain Informatics and Health, 2367-1750
Main Authors: Wang, Shui-Hua (Author)
Zhang, Yu-Dong (Author)
Dong, Zhengchao (Author)
Phillips, Preetha (Author)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Series:Brain Informatics and Health,
Subjects:
Computer vision.
Pattern recognition systems.
Radiology.
Nervous system—Radiography.
Online Access:
Springer Computer Science eBooks 2018 English/International: 2018 (Springer Link)
Format: Electronic eBook
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.