Deep Learning in Cancer Diagnostics: A Feature-based Transfer Learning Evaluation (SpringerBriefs in Applied Sciences and Technology) - Softcover
- PublisherSpringer
- Publication date2023
- ISBN 10 9811989362
- ISBN 13 9789811989360
- BindingPaperback
- Edition number1
- Number of pages44
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Deep Learning in Cancer Diagnostics: A Feature-based Transfer Learning Evaluation (SpringerBriefs in Applied Sciences and Technology) by Arzmi, Mohd Hafiz, P. P. Abdul Majeed, Anwar, Muazu Musa, Rabiu, Mohd Razman, Mohd Azraai, Gan, Hong-Seng, Mohd Khairuddin, Ismail, Ab. Nasir, Ahmad Fakhri [Paperback ]
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Deep Learning in Cancer Diagnostics
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(2023)
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Deep Learning in Cancer Diagnostics: A Feature-based Transfer Learning Evaluation
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Book Description Paperback. Condition: Brand New. 44 pages. 9.25x6.10x0.10 inches. In Stock. Seller Inventory # __9811989362
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Deep Learning in Cancer Diagnostics: A Feature-based Transfer Learning Evaluation (SpringerBriefs in Applied Sciences and Technology)
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ISBN 13: 9789811989360
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Deep Learning in Cancer Diagnostics
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(2023)
ISBN 10: 9811989362
ISBN 13: 9789811989360
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Book Description Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Cancer is the leading cause of mortality in most, if not all, countries around the globe. It is worth noting that the World Health Organisation (WHO) in 2019 estimated that cancer is the primary or secondary leading cause of death in 112 of 183 countries for individuals less than 70 years old, which is alarming. In addition, cancer affects socioeconomic development as well. The diagnostics of cancer are often carried out by medical experts through medical imaging; nevertheless, it is not without misdiagnosis owing to a myriad of reasons. With the advancement of technology and computing power, the use of state-of-the-art computational methods for the accurate diagnosis of cancer is no longer far-fetched. In this brief, the diagnosis of four types of common cancers, i.e., breast, lung, oral and skin, are evaluated with different state-of-the-art feature-based transfer learning models. It is expected that the findings in this book are insightful to various stakeholders in the diagnosis of cancer. 44 pp. Englisch. Seller Inventory # 9789811989360
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Deep Learning in Cancer Diagnostics : A Feature-based Transfer Learning Evaluation
Published by
Springer Nature Singapore
(2023)
ISBN 10: 9811989362
ISBN 13: 9789811989360
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Taschenbuch
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Book Description Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Cancer is the leading cause of mortality in most, if not all, countries around the globe. It is worth noting that the World Health Organisation (WHO) in 2019 estimated that cancer is the primary or secondary leading cause of death in 112 of 183 countries for individuals less than 70 years old, which is alarming. In addition, cancer affects socioeconomic development as well. The diagnostics of cancer are often carried out by medical experts through medical imaging; nevertheless, it is not without misdiagnosis owing to a myriad of reasons. With the advancement of technology and computing power, the use of state-of-the-art computational methods for the accurate diagnosis of cancer is no longer far-fetched. In this brief, the diagnosis of four types of common cancers, i.e., breast, lung, oral and skin, are evaluated with different state-of-the-art feature-based transfer learning models. It is expected that the findings in this book are insightful to various stakeholders in the diagnosis of cancer. Seller Inventory # 9789811989360
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Deep Learning in Cancer Diagnostics
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Book Description Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Cancer is the leading cause of mortality in most, if not all, countries around the globe. It is worth noting that the World Health Organisation (WHO) in 2019 estimated that cancer is the primary or secondary leading cause of death in 112 of 183 countries. Seller Inventory # 757485769
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