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Machine Learning in Clinical Neuroimaging - 5th International Workshop, MLCN 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings (Paperback, 1st ed. 2022) Loot Price: R1,695
Discovery Miles 16 950
Machine Learning in Clinical Neuroimaging - 5th International Workshop, MLCN 2022, Held in Conjunction with MICCAI 2022,...

Machine Learning in Clinical Neuroimaging - 5th International Workshop, MLCN 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings (Paperback, 1st ed. 2022)

Ahmed Abdulkadir, Deepti R. Bathula, Nicha C. Dvornek, Mohamad Habes, Seyed Mostafa Kia, Vinod Kumar, Thomas Wolfers

Series: Lecture Notes in Computer Science, 13596

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Loot Price R1,695 Discovery Miles 16 950 | Repayment Terms: R159 pm x 12*

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This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2022, held in Conjunction with MICCAI 2022, Singapore in September 2022. The book includes 17 papers which were carefully reviewed and selected from 23 full-length submissions. The 5th international workshop on Machine Learning in Clinical Neuroimaging (MLCN2022) 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: Morphometry; Diagnostics, and Aging, and Neurodegeneration.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Lecture Notes in Computer Science, 13596
Release date: October 2022
First published: 2022
Editors: Ahmed Abdulkadir • Deepti R. Bathula • Nicha C. Dvornek • Mohamad Habes • Seyed Mostafa Kia • Vinod Kumar • Thomas Wolfers
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 180
Edition: 1st ed. 2022
ISBN-13: 978-3-03-117898-6
Categories: Books > Social sciences > General
Books > Computing & IT > General theory of computing > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
Books > Computing & IT > Applications of computing > Image processing > General
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LSN: 3-03-117898-X
Barcode: 9783031178986

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