TY  - BOOK
AU  - Wang,Shui-Hua
AU  - Zhang,Yu-Dong
AU  - Dong,Zhengchao
AU  - Phillips,Preetha
ED  - SpringerLink (Online service)
TI  - Pathological Brain Detection
T2  - Brain Informatics and Health,
SN  - 9789811040269
AV  - TA1630-1650 
U1  - 006.6 23
PY  - 2018///
CY  - Singapore
PB  - Springer Singapore, Imprint: Springer
KW  - Optical data processing
KW  - Pattern recognition
KW  - Radiology
KW  - Neuroradiology
KW  - Image Processing and Computer Vision
KW  - Pattern Recognition
KW  - Diagnostic Radiology
N1  - Acceso multiusuario; 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
N2  - 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.
UR  - http://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-981-10-4026-9
ER  -