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Machine Learning and Deep Learning in Neuroimaging Data Analysis
Seller: Books From California, Simi Valley, CA, U.S.A.
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hardcover. Condition: Fine.
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Machine Learning and Deep Learning in Neuroimaging Data Analysis
Language: English
Published by Taylor & Francis Ltd, 2025
ISBN 10: 1032207000 ISBN 13: 9781032207001
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Machine Learning And Deep Learning In Neuroimaging Data Analysis
Language: English
Published by Taylor & Francis Ltd, 2025
ISBN 10: 1032207000 ISBN 13: 9781032207001
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Machine Learning and Deep Learning in Neuroimaging Data Analysis
Language: English
Published by Taylor & Francis Ltd, 2024
ISBN 10: 103219068X ISBN 13: 9781032190686
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Machine Learning and Deep Learning in Neuroimaging Data Analysis
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Machine Learning and Deep Learning in Neuroimaging Data Analysis
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Machine Learning and Deep Learning in Neuroimaging Data Analysis
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Taschenbuch. Condition: Neu. Neuware - Machine learning (ML) and deep learning (DL) have become essential tools in healthcare. They are capable of processing enormous amounts of data to find patterns and are also adopted into methods that manage and make sense of healthcare data, either electronic healthcare records or medical imagery. This book explores how ML/DL can assist neurologists in identifying, classifying or predicting neurological problems that require neuroimaging. With the ability to model high-dimensional datasets, supervised learning algorithms can help in relating brain images to behavioral or clinical observations and unsupervised learning can uncover hidden structures/patterns in images. Bringing together artificial intelligence (AI) experts as well as medical practitioners, these chapters cover the majority of neuro problems that use neuroimaging for diagnosis, along with case studies and directions for future research.
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Add to basketHardcover. Condition: Brand New. 160 pages. 10.00x7.00x0.47 inches. In Stock.
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Machine Learning and Deep Learning in Neuroimaging Data Analysis (Paperback)
Language: English
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032207000 ISBN 13: 9781032207001
Paperback. Condition: new. Paperback. Machine learning (ML) and deep learning (DL) have become essential tools in healthcare. They are capable of processing enormous amounts of data to find patterns and are also adopted into methods that manage and make sense of healthcare data, either electronic healthcare records or medical imagery. This book explores how ML/DL can assist neurologists in identifying, classifying or predicting neurological problems that require neuroimaging. With the ability to model high-dimensional datasets, supervised learning algorithms can help in relating brain images to behavioral or clinical observations and unsupervised learning can uncover hidden structures/patterns in images. Bringing together artificial intelligence (AI) experts as well as medical practitioners, these chapters cover the majority of neuro problems that use neuroimaging for diagnosis, along with case studies and directions for future research. This book explores how ML/DL can assist neurologists in identifying, classifying or predicting neurological problems that require neuroimaging. With the ability to model high dimensional datasets, supervised learning algorithms can help in relating brain images to behavioral or clinical observations. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Machine Learning and Deep Learning in Neuroimaging Data Analysis (Paperback)
Language: English
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032207000 ISBN 13: 9781032207001
Paperback. Condition: new. Paperback. Machine learning (ML) and deep learning (DL) have become essential tools in healthcare. They are capable of processing enormous amounts of data to find patterns and are also adopted into methods that manage and make sense of healthcare data, either electronic healthcare records or medical imagery. This book explores how ML/DL can assist neurologists in identifying, classifying or predicting neurological problems that require neuroimaging. With the ability to model high-dimensional datasets, supervised learning algorithms can help in relating brain images to behavioral or clinical observations and unsupervised learning can uncover hidden structures/patterns in images. Bringing together artificial intelligence (AI) experts as well as medical practitioners, these chapters cover the majority of neuro problems that use neuroimaging for diagnosis, along with case studies and directions for future research. This book explores how ML/DL can assist neurologists in identifying, classifying or predicting neurological problems that require neuroimaging. With the ability to model high dimensional datasets, supervised learning algorithms can help in relating brain images to behavioral or clinical observations. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Machine Learning and Deep Learning in Neuroimaging Data Analysis (Paperback)
Language: English
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032207000 ISBN 13: 9781032207001
US$ 94.77
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Add to basketPaperback. Condition: new. Paperback. Machine learning (ML) and deep learning (DL) have become essential tools in healthcare. They are capable of processing enormous amounts of data to find patterns and are also adopted into methods that manage and make sense of healthcare data, either electronic healthcare records or medical imagery. This book explores how ML/DL can assist neurologists in identifying, classifying or predicting neurological problems that require neuroimaging. With the ability to model high-dimensional datasets, supervised learning algorithms can help in relating brain images to behavioral or clinical observations and unsupervised learning can uncover hidden structures/patterns in images. Bringing together artificial intelligence (AI) experts as well as medical practitioners, these chapters cover the majority of neuro problems that use neuroimaging for diagnosis, along with case studies and directions for future research. This book explores how ML/DL can assist neurologists in identifying, classifying or predicting neurological problems that require neuroimaging. With the ability to model high dimensional datasets, supervised learning algorithms can help in relating brain images to behavioral or clinical observations. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Machine Learning and Deep Learning in Neuroimaging Data Analysis
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Anitha S. Pillai is a Professor in the School of Computing Sciences, Hindustan Institute of Technology and Science, India. She obtained a Ph.D. in the field of Natural Language Processing and has three decades of teaching/research experi.
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Buch. Condition: Neu. Machine Learning and Deep Learning in Neuroimaging Data Analysis | Anitha S. Pillai (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2024 | CRC Press | EAN 9781032190686 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book explores how ML/DL can assist neurologists in identifying, classifying or predicting neurological problems that require neuroimaging. With the ability to model high dimensional datasets, supervised learning algorithms can help in relating brain images to behavioral or clinical observations.
