Pathological Brain Detection

• Κύριοι συγγραφείς: Wang, Shui-Hua (Συγγραφέας, 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)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Brain Informatics and Health,
• Θέματα: 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...

Πίνακας περιεχομένων:

• 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.