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Pathological brain detection
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SpringerLink (Online service)
Pathological brain detection
Record Type:
Electronic resources : Monograph/item
Title/Author:
Pathological brain detectionby 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$q(electronic bk.)
Pathological brain detection
Pathological brain detection
[electronic resource] /by Shui-Hua Wang ... [et al.]. - Singapore :Springer Singapore :2018. - xxvi, 214 p. :ill., digital ;24 cm. - Brain informatics and health,2367-1742. - Brain informatics and health..
1 Basics of Pathological Brain Detection (PBD) -- 2 Neuroimaging Modalities: Strengths and Weaknesses -- 3 Image Preprocessing for Pathological Brain Detection: A Summary -- 4 Canonical Feature Extraction Methods for Structural Magnetic Resonance Imaging -- 5 Multi-scale and Multi-resolution Features for Structural Magnetic Resonance Imaging -- 6 Dimensionality Reduction of Brain Image Features -- 7 Classification Methods for Pathological Brain Detection -- 8 Weight Optimization of Classifiers for Pathological Brain Detection -- 9 Comparison of Current PBD Systems.
This book provides detailed practical guidelines on how to develop an efficient pathological brain detection system, reflecting the latest advances in the computer-aided diagnosis of structural magnetic resonance brain images. Matlab codes are provided for most of the functions described. In addition, the book equips readers to easily develop the pathological brain detection system further on their own and apply the technologies to other research fields, such as Alzheimer's detection, multiple sclerosis detection, etc.
ISBN: 9789811040269$q(electronic bk.)
Standard No.: 10.1007/978-981-10-4026-9doiSubjects--Topical Terms:
196488
Neuroinformatics.
LC Class. No.: QP357.5
Dewey Class. No.: 616.800285
Pathological brain detection
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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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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.
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Computer Science (Springer-11645)
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EB QP357.5 P297 2018 2018
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http://dx.doi.org/10.1007/978-981-10-4026-9
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