Deep Learning and Other Soft Computing Techniques | Biomedical and Related Applications

Nguyen Hoang Phuong (u. a.)

ISBN 10: 3031294491 ISBN 13: 9783031294495
Verlag: Springer, 2024
Neu Taschenbuch

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Deep Learning and Other Soft Computing Techniques | Biomedical and Related Applications | Nguyen Hoang Phuong (u. a.) | Taschenbuch | ix | Englisch | 2024 | Springer | EAN 9783031294495 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Bestandsnummer des Verkäufers 129563058

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Inhaltsangabe:

This book focuses on the use of artificial intelligence (AI) and computational intelligence (CI) in medical and related applications. Applications include all aspects of medicine: from diagnostics (including analysis of medical images and medical data) to therapeutics (including drug design and radiotherapy) to epidemic- and pandemic-related public health policies.

Corresponding techniques include machine learning (especially deep learning), techniques for processing expert knowledge (e.g., fuzzy techniques), and advanced techniques of applied mathematics (such as innovative probabilistic and graph-based techniques).

The book also shows that these techniques can be used in many other applications areas, such as finance, transportation, physics.

This book helps practitioners and researchers to learn more about AI and CI methods and their biomedical (and related) applications―and to further develop thisimportant research direction.

Von der hinteren Coverseite:

This book focuses on the use of artificial intelligence (AI) and computational intelligence (CI) in medical and related applications. Applications include all aspects of medicine: from diagnostics (including analysis of medical images and medical data) to therapeutics (including drug design and radiotherapy) to epidemic- and pandemic-related public health policies.

Corresponding techniques include machine learning (especially deep learning), techniques for processing expert knowledge (e.g., fuzzy techniques), and advanced techniques of applied mathematics (such as innovative probabilistic and graph-based techniques).

The book also shows that these techniques can be used in many other applications areas, such as finance, transportation, physics.

This book helps practitioners and researchers to learn more about AI and CI methods and their biomedical (and related) applications―and to further develop this important research direction.


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Titel: Deep Learning and Other Soft Computing ...
Verlag: Springer
Erscheinungsdatum: 2024
Einband: Taschenbuch
Zustand: Neu

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ISBN 10: 3031294491 ISBN 13: 9783031294495
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on the use of artificial intelligence (AI) and computationalintelligence (CI) in medical and related applications. Applications includeall aspects of medicine: from diagnostics (including analysis of medicalimages and medical data) to therapeutics (including drug designand radiotherapy) to epidemic- and pandemic-related public health policies.Corresponding techniques include machine learning (especially deep learning),techniques for processing expert knowledge (e.g., fuzzy techniques), andadvanced techniques of applied mathematics (such as innovative probabilisticand graph-based techniques).The book also shows that these techniques can be used in many otherapplications areas, such as finance, transportation, physics. This book helps practitioners and researchers to learn more about AI andCI methods and their biomedical (and related) applications-and to furtherdevelop thisimportant research direction. Artikel-Nr. 9783031294495

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Vladik Kreinovich
ISBN 10: 3031294491 ISBN 13: 9783031294495
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Taschenbuch. Zustand: Neu. Neuware -This book focuses on the use of artificial intelligence (AI) and computational intelligence (CI) in medical and related applications. Applications include all aspects of medicine: from diagnostics (including analysis of medical images and medical data) to therapeutics (including drug design and radiotherapy) to epidemic- and pandemic-related public health policies.Corresponding techniques include machine learning (especially deep learning), techniques for processing expert knowledge (e.g., fuzzy techniques), and advanced techniques of applied mathematics (such as innovative probabilistic and graph-based techniques).The book also shows that these techniques can be used in many other applications areas, such as finance, transportation, physics.This book helps practitioners and researchers to learn more about AI and CI methods and their biomedical (and related) applications¿and to further develop thisimportant research direction.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 304 pp. Englisch. Artikel-Nr. 9783031294495

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