Articles liés à Deep Learning for Cancer Diagnosis
Synopsis
This book explores various applications of deep learning to the diagnosis of cancer, while also outlining the future face of deep learning-assisted cancer diagnostics. As is commonly known, artificial intelligence has paved the way for countless new solutions in the field of medicine. In this context, deep learning is a recent and remarkable sub-field, which can effectively cope with huge amounts of data and deliver more accurate results. As a vital research area, medical diagnosis is among those in which deep learning-oriented solutions are often employed.
Accordingly, the objective of this book is to highlight recent advanced applications of deep learning for diagnosing different types of cancer. The target audience includes scientists, experts, MSc and PhD students, postdocs, and anyone interested in the subjects discussed. The book can be used as a reference work to support courses on artificial intelligence, medical and biomedicaleducation.
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À propos de l?auteur
Utku Kose received his Ph. D. degree in 2017 from Selcuk University, Turkey in the field of computer engineering. Currently, he is an Associate Professor in Suleyman Demirel University, Turkey. He has more than 100 publications to his credit. His research interests include artificial intelligence, machine ethics, artificial intelligence safety, optimization, the chaos theory, distance education, e-learning, computer education, and computer science.
Jafar Alzubi received his PhD in Advanced Telecommunications Engineering from Swansea University, UK, in 2012. He is currently an associate professor at the Computer Engineering Dept., Al-Balqa Applied University, Jordan. His research focuses on Elliptic curves cryptography and cryptosystems, classifications and detection of web scams, using Algebraic-Geometric theory in channel coding for wireless networks. He is currently working jointly with Wake Forest University, NC-USA as a visiting associate professor.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Deep Learning for Cancer Diagnosis
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Springer Singapore, 2020
ISBN 10 : 9811563209
ISBN 13 : 9789811563201
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Highlights recent advanced applications of Deep Learning for diagnosing cancer Discusses relevant solutions for medical diagnosis using techniques such as CNN, LSTM, and Autoencoder Networks Offers a valuable reference guide for p. N° de réf. du vendeur 373577497
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Deep Learning for Cancer Diagnosis (Studies in Computational Intelligence, 908)
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Springer, 2020
ISBN 10 : 9811563209
ISBN 13 : 9789811563201
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Deep Learning for Cancer Diagnosis (Studies in Computational Intelligence, 908)
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Deep Learning for Cancer Diagnosis
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face of deep learning-assisted cancer diagnostics. As is commonly known, artificial intelligence has paved the way for countless new solutions in the field of medicine. In this context, deep learning is a recent and remarkable sub-field, which can effectively cope with huge amounts of data and deliver more accurate results. As a vital research area, medical diagnosis is among those in which deep learning-oriented solutions are often employed.Accordingly, the objective of this book is to highlight recent advanced applications of deep learning for diagnosing different types of cancer. The target audience includes scientists, experts, MSc and PhD students, postdocs, and anyone interested in the subjects discussed. The book can be used as a reference work to support courses on artificial intelligence, medical and biomedicaleducation. 320 pp. Englisch. N° de réf. du vendeur 9789811563201
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Deep Learning for Cancer Diagnosis
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Springer Nature Singapore, Springer Nature Singapore Sep 2020, 2020
ISBN 10 : 9811563209
ISBN 13 : 9789811563201
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face of deep learning-assisted cancer diagnostics. As is commonly known, artificial intelligence has paved the way for countless new solutions in the field of medicine. In this context, deep learning is a recent and remarkable sub-field, which can effectively cope with huge amounts of data and deliver more accurate results. As a vital research area, medical diagnosis is among those in which deep learning-oriented solutions are often employed.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 320 pp. Englisch. N° de réf. du vendeur 9789811563201
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Deep Learning for Cancer Diagnosis
Edité par
Springer Nature Singapore, Springer Nature Singapore, 2020
ISBN 10 : 9811563209
ISBN 13 : 9789811563201
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face of deep learning-assisted cancer diagnostics. As is commonly known, artificial intelligence has paved the way for countless new solutions in the field of medicine. In this context, deep learning is a recent and remarkable sub-field, which can effectively cope with huge amounts of data and deliver more accurate results. As a vital research area, medical diagnosis is among those in which deep learning-oriented solutions are often employed.Accordingly, the objective of this book is to highlight recent advanced applications of deep learning for diagnosing different types of cancer. The target audience includes scientists, experts, MSc and PhD students, postdocs, and anyone interested in the subjects discussed. The book can be used as a reference work to support courses on artificial intelligence, medical and biomedicaleducation. N° de réf. du vendeur 9789811563201
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Deep Learning for Cancer Diagnosis (Studies in Computational Intelligence, 908)
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