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Multimodal neuroimaging computing for the characterization of neurodegenerative disorders [electronic resource]

Multimodal neuroimaging computing for the characterization of neurodegenerative disorders [electronic resource]

자료유형
E-Book(소장)
개인저자
Liu, Sidong.
서명 / 저자사항
Multimodal neuroimaging computing for the characterization of neurodegenerative disorders [electronic resource] / Sidong Liu.
발행사항
Singapore :   Springer,   2017.  
형태사항
1 online resource (xxv, 136 p.) : ill. (some col.).
총서사항
Springer Theses,2190-5053, 2190-5061 (electronic)
ISBN
9789811035326 9789811035333 (e-book)
요약
This thesis covers various facets of brain image computing methods and illustrates the scientific understanding of neurodegenerative disorders based on four general aspects of multimodal neuroimaging computing: neuroimaging data pre-processing, brain feature modeling, pathological pattern analysis, and translational model development. It demonstrates how multimodal neuroimaging computing techniques can be integrated and applied to neurodegenerative disease research and management, highlighting relevant examples and case studies. Readers will also discover a number of interesting extension topics in longitudinal neuroimaging studies, subject-centered analysis, and the brain connectome. As such, the book will benefit all health informatics postgraduates, neuroscience researchers, neurology and psychiatry practitioners, and policymakers who are interested in medical image computing and computer-assisted interventions.
일반주기
Title from e-Book title page.  
내용주기
Introduction -- Background -- Datasets and Pre-processing -- Neurodegenerative Feature Modeling and Learning -- Neurodegenerative Pattern Analysis -- Alzheimer’s Disease Staging and Prediction -- Neuroimaging Content-Based Retrieval -- Conclusions and Future Directions.
서지주기
Includes bibliographical references.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Computer science. Computer vision.
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URL
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245 1 0 ▼a Multimodal neuroimaging computing for the characterization of neurodegenerative disorders ▼h [electronic resource] / ▼c Sidong Liu.
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300 ▼a 1 online resource (xxv, 136 p.) : ▼b ill. (some col.).
490 1 ▼a Springer Theses, ▼x 2190-5053, ▼x 2190-5061 (electronic)
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references.
505 0 ▼a Introduction -- Background -- Datasets and Pre-processing -- Neurodegenerative Feature Modeling and Learning -- Neurodegenerative Pattern Analysis -- Alzheimer’s Disease Staging and Prediction -- Neuroimaging Content-Based Retrieval -- Conclusions and Future Directions.
520 ▼a This thesis covers various facets of brain image computing methods and illustrates the scientific understanding of neurodegenerative disorders based on four general aspects of multimodal neuroimaging computing: neuroimaging data pre-processing, brain feature modeling, pathological pattern analysis, and translational model development. It demonstrates how multimodal neuroimaging computing techniques can be integrated and applied to neurodegenerative disease research and management, highlighting relevant examples and case studies. Readers will also discover a number of interesting extension topics in longitudinal neuroimaging studies, subject-centered analysis, and the brain connectome. As such, the book will benefit all health informatics postgraduates, neuroscience researchers, neurology and psychiatry practitioners, and policymakers who are interested in medical image computing and computer-assisted interventions.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Computer science.
650 0 ▼a Computer vision.
830 0 ▼a Springer Theses.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=https://doi.org/10.1007/978-981-10-3533-3
945 ▼a KLPA
991 ▼a E-Book(소장)

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/e-Book 컬렉션/ 청구기호 CR 616.80754 등록번호 E14018067 도서상태 대출불가(열람가능) 반납예정일 예약 서비스 M

컨텐츠정보

목차

Introduction.- Background.- Datasets and Pre-processing.- Neurodegenerative Feature Modeling and Learning.- Neurodegenerative Pattern Analysis.- Alzheimer's Disease Staging and Prediction.- Neuroimaging Content-Based Retrieval.- Conclusions and Future Directions.


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