國立虎尾科技大學 |

Pathological brain detection

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Pathological brain detection/ by Shui-Hua Wang ... [et al.].
other author:	Wang, Shui-Hua.
Published:	Singapore :Springer Singapore : : 2018.,
Description:	xxvi, 214 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Neuroinformatics. -
Online resource:	http://dx.doi.org/10.1007/978-981-10-4026-9
ISBN:	9789811040269

Pathological brain detection
Pathological brain detection[electronic resource] /by Shui-Hua Wang ... [et al.]. - Singapore :Springer Singapore :2018. - xxvi, 214 p. :ill., digital ;24 cm. - Brain informatics and health,2367-1742. - Brain informatics and health..

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.

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.

ISBN: 9789811040269

Standard No.: 10.1007/978-981-10-4026-9doiSubjects--Topical Terms:

793645
Neuroinformatics.

LC Class. No.: QP357.5

Dewey Class. No.: 616.800285

Pathological brain detection
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505 0 $a 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.
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