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Machine Learning in Clinical Neuroimaging 6th International Workshop, MLCN 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings /

This book constitutes the refereed proceedings of the 6th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2023, held in Conjunction with MICCAI 2023 in Vancouver, Canada, in October 2023. The book includes 16 papers which were carefully reviewed and selected from 28 full-le...

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Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Abdulkadir, Ahmed (Editör), Bathula, Deepti R. (Editör), Dvornek, Nicha C. (Editör), Govindarajan, Sindhuja T. (Editör), Habes, Mohamad (Editör), Kumar, Vinod (Editör), Leonardsen, Esten (Editör), Wolfers, Thomas (Editör), Xiao, Yiming (Editör)
Materyal Türü: Elektronik Ekitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Edisyon:1st ed. 2023.
Seri Bilgileri:Lecture Notes in Computer Science, 14312
Konular:
Computer vision.
Machine learning.
Computers.
Social sciences > Data processing.
Computer Vision.
Machine Learning.
Computing Milieux.
Computer Application in Social and Behavioral Sciences.
Online Erişim:https://doi.org/10.1007/978-3-031-44858-4
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Diğer Bilgiler
Özet:This book constitutes the refereed proceedings of the 6th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2023, held in Conjunction with MICCAI 2023 in Vancouver, Canada, in October 2023. The book includes 16 papers which were carefully reviewed and selected from 28 full-length submissions. The 6th International Workshop on Machine Learning in Clinical Neuroimaging (MLCN 2023) aims to bring together the top researchers in both machine learning and clinical neuroscience as well as tech-savvy clinicians to address two main challenges: 1) development of methodological approaches for analyzing complex and heterogeneous neuroimaging data (machine learning track); and 2) filling the translational gap in applying existing machine learning methods in clinical practices (clinical neuroimaging track). The papers are categorzied into topical sub-headings on Machine Learning and Clinical Applications.
Fiziksel Özellikler:1 online resource (X, 174 p. 52 illus.). 47 illus. in color.
ISBN:9783031448584
ISSN:1611-3349 ;
DOI:10.1007/978-3-031-44858-4

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