Seller: Bibliomadness, Worthington, MA, U.S.A.
First Edition
Hardcover. Condition: Good. No Jacket. 1st Edition. Book is in very good condition with the exception of a bump/indent to the top edge of the front and rear cover. Bottom cover corners bumped. This is why I listed it as good condition. Otherwise minor edgewear. Inside pages are clean and tight. No writing or marking.
Seller: Best Price, Torrance, CA, U.S.A.
Condition: New. SUPER FAST SHIPPING.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Condition: New. In.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New.
Condition: new.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New.
Published by Springer Nature Switzerland AG, Cham, 2022
ISBN 10: 3030719774 ISBN 13: 9783030719777
Language: English
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: new. Paperback. This book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic, and hybrid intelligent systems for the determination and diagnosis of cancer. Moreover, the tactical solutions of machine learning have proved its vast range of significance and, provided novel solutions in the medical field for the diagnosis of disease. This book also explores the distinct deep learning approaches that are capable of yielding more accurate outcomes for the diagnosis of cancer. In addition to providing an overview of the emerging machine and deep learning approaches, it also enlightens an insight on how to evaluate the efficiency and appropriateness of such techniques and analysis of cancer data used in the cancer diagnosis. Therefore, this book focuses on the recent advancements in the machine learning and deep learning approaches used in the diagnosis of different types of cancer along with their research challenges and future directions for the targeted audience including scientists, experts, Ph.D. students, postdocs, and anyone interested in the subjects discussed. This book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic, and hybrid intelligent systems for the determination and diagnosis of cancer. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Condition: New.
Condition: New.
Condition: New. In.
Condition: New. In.
Condition: New.
Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Condition: New. In.
Condition: New.
Published by Taylor & Francis Group, 2020
ISBN 10: 0367417278 ISBN 13: 9780367417277
Language: English
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New.
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Advanced Machine Learning Approaches in Cancer Prognosis | Challenges and Applications | Janmenjoy Nayak (u. a.) | Taschenbuch | xx | Englisch | 2022 | Springer | EAN 9783030719777 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Published by Taylor & Francis Group, 2020
ISBN 10: 0367417278 ISBN 13: 9780367417277
Language: English
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New.
Published by Springer International Publishing, Springer Nature Switzerland Mai 2022, 2022
ISBN 10: 3030719774 ISBN 13: 9783030719777
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. Neuware -This book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic, and hybrid intelligent systems for the determination and diagnosis of cancer. Moreover, the tactical solutions of machine learning have proved its vast range of significance and, provided novel solutions in the medical field for the diagnosis of disease. This book also explores the distinct deep learning approaches that are capable of yielding more accurate outcomes for the diagnosis of cancer. In addition to providing an overview of the emerging machine and deep learning approaches, it also enlightens an insight on how to evaluate the efficiency and appropriateness of such techniques and analysis of cancer data used in the cancer diagnosis. Therefore, this book focuses on the recent advancements in the machine learning and deep learning approaches used in the diagnosis of different types of cancer along with their research challenges and future directions for the targeted audience including scientists, experts, Ph.D. students, postdocs, and anyone interested in the subjects discussed.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 476 pp. Englisch.
Published by Springer International Publishing, Springer International Publishing Mai 2021, 2021
ISBN 10: 303071974X ISBN 13: 9783030719746
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Buch. Condition: Neu. Neuware -This book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic, and hybrid intelligent systems for the determination and diagnosis of cancer. Moreover, the tactical solutions of machine learning have proved its vast range of significance and, provided novel solutions in the medical field for the diagnosis of disease. This book also explores the distinct deep learning approaches that are capable of yielding more accurate outcomes for the diagnosis of cancer. In addition to providing an overview of the emerging machine and deep learning approaches, it also enlightens an insight on how to evaluate the efficiency and appropriateness of such techniques and analysis of cancer data used in the cancer diagnosis. Therefore, this book focuses on the recent advancements in the machine learning and deep learning approaches used in the diagnosis of different types of cancer along with their research challenges and future directions for the targeted audience including scientists, experts, Ph.D. students, postdocs, and anyone interested in the subjects discussed.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 476 pp. Englisch.
Published by Springer International Publishing, 2022
ISBN 10: 3030719774 ISBN 13: 9783030719777
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic,and hybrid intelligent systems for the determination and diagnosis of cancer. Moreover, the tactical solutions of machine learninghaveproved its vast range of significance and,provided novel solutions in the medical field for the diagnosis of disease. This book also explores the distinct deep learning approaches that are capable of yielding more accurate outcomes for the diagnosis of cancer. In addition to providing an overview of the emerging machine and deep learning approaches, it also enlightens an insight on how to evaluate the efficiency and appropriateness of such techniques and analysis of cancer data used in the cancer diagnosis. Therefore, this book focuses on the recent advancements in the machine learning and deep learning approaches used in the diagnosis of different types of cancer along with their research challenges and future directions for the targeted audience including scientists, experts, Ph.D.students, postdocs, and anyone interested in the subjects discussed.
Published by Springer International Publishing, 2021
ISBN 10: 303071974X ISBN 13: 9783030719746
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic,and hybrid intelligent systems for the determination and diagnosis of cancer. Moreover, the tactical solutions of machine learninghaveproved its vast range of significance and,provided novel solutions in the medical field for the diagnosis of disease. This book also explores the distinct deep learning approaches that are capable of yielding more accurate outcomes for the diagnosis of cancer. In addition to providing an overview of the emerging machine and deep learning approaches, it also enlightens an insight on how to evaluate the efficiency and appropriateness of such techniques and analysis of cancer data used in the cancer diagnosis. Therefore, this book focuses on the recent advancements in the machine learning and deep learning approaches used in the diagnosis of different types of cancer along with their research challenges and future directions for the targeted audience including scientists, experts, Ph.D.students, postdocs, and anyone interested in the subjects discussed.
Hardcover. Condition: Brand New. 161 pages. 9.25x6.10x9.21 inches. In Stock.