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Deep Learning Applications in Medical Image Segmentation
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Condition: As New. Unread book in perfect condition.
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Deep Learning Applications in Medical Image Segmentation : Overview, Approaches, and Challenges
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 106.21
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Ontology Engineering for Imprecise Knowledge Management: Implementations, Findings and Frameworks
Language: English
Published by LAP LAMBERT Academic Publishing, 2009
ISBN 10: 3838306120 ISBN 13: 9783838306124
paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Deep Learning Applications in Medical Image Segmentation: Overview, Approaches, and Challenges
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Deep Learning Applications in Medical Image Segmentation : Overview, Approaches, and Challenges
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Deep Learning Applications in Medical Image Segmentation: Overview, Approaches, and Challenges
Language: English
Published by John Wiley & Sons Inc, 2025
ISBN 10: 1394245335 ISBN 13: 9781394245338
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Deep Learning Applications in Medical Image Segmentation: Overview, Approaches, and Challenges
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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First Edition
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Community Structure Analysis from Social Networks
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032847484 ISBN 13: 9781032847481
Condition: New.
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Community Structure Analysis from Social Networks
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032847484 ISBN 13: 9781032847481
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Community Structure Analysis from Social Networks
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032847484 ISBN 13: 9781032847481
Condition: New.
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Community Structure Analysis from Social Networks
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032847484 ISBN 13: 9781032847481
Condition: As New. Unread book in perfect condition.
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International EditionDEEP LEARNING APPLICATIONS IN MEDICAL IMAGE SEGMENTATION OVERVIEW APPROACHES AND CHALLENGES (HB 2025)
Language: English
Published by JOHN WILEY NP (ORIGINAL), 2025
ISBN 10: 1394245335 ISBN 13: 9781394245338
Condition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Condition: New. 2025. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.
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Community Structure Analysis from Social Networks
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032847484 ISBN 13: 9781032847481
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 177.53
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Community Structure Analysis from Social Networks
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032847484 ISBN 13: 9781032847481
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Community Structure Analysis from Social Networks
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032847484 ISBN 13: 9781032847481
Condition: New.
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Community Structure Analysis from Social Networks
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032847484 ISBN 13: 9781032847481
Condition: New. 1st edition NO-PA16APR2015-KAP.
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Deep Learning Applications in Medical Image Segmentation
Language: English
Published by John Wiley & Sons Jan 2025, 2025
ISBN 10: 1394245335 ISBN 13: 9781394245338
Buch. Condition: Neu. Neuware - Apply revolutionary deep learning technology to the fast-growing field of medical image segmentation Precise medical image segmentation is rapidly becoming one of the most important tools in medical research, diagnosis, and treatment. The potential for deep learning, a technology which is already revolutionizing practice across hundreds of subfields, is immense. The prospect of using deep learning to address the traditional shortcomings of image segmentation demands close inspection and wide proliferation of relevant knowledge. Deep Learning Applications in Medical Image Segmentation meets this demand with a comprehensive introduction and its growing applications. Covering foundational concepts and its advanced techniques, it offers a one-stop resource for researchers and other readers looking for a detailed understanding of the topic. It is deeply engaged with the main challenges and recent advances in the field of deep-learning-based medical image segmentation. Readers will also find: - Analysis of deep learning models, including FCN, UNet, SegNet, Dee Lab, and many more- Detailed discussion of medical image segmentation divided by area, incorporating all major organs and organ systems- Recent deep learning advancements in segmenting brain tumors, retinal vessels, and inner ear structures- Analyzes the effectiveness of deep learning models in segmenting lung fields for respiratory disease diagnosis- Explores the application and benefits of Generative Adversarial Networks (GANs) in enhancing medical image segmentation- Identifies and discusses the key challenges faced in medical image segmentation using deep learning techniques- Provides an overview of the latest advancements, applications, and future trends in deep learning for medical image analysis Deep Learning Applications in Medical Image Segmentation is ideal for academics and researchers working with medical image segmentation, as well as professionals in medical imaging, data science, and biomedical engineering.
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Community Structure Analysis from Social Networks
Language: English
Published by Chapman and Hall/CRC, 2025
ISBN 10: 1032847484 ISBN 13: 9781032847481
Condition: New.
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Community Structure Analysis from Social Networks
Language: English
Published by Taylor & Francis Ltd, 2025
ISBN 10: 1032847484 ISBN 13: 9781032847481
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. New copy - Usually dispatched within 4 working days.
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Hardcover. Condition: Brand New. 280 pages. 9.18x6.12x9.45 inches. In Stock.
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Ontology Engineering for Imprecise Knowledge Management
Language: English
Published by LAP LAMBERT Academic Publishing Jul 2009, 2009
ISBN 10: 3838306120 ISBN 13: 9783838306124
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Currently, knowledge engineering is strongly related to the construction of shared knowledge bases or conceptual frameworks, often designated as ontologies. Ontologies play an active role in the realization of Semantic Web by providing the basis for inter-operability of heterogeneous systems. However, use of ontology in processing information embedded in text documents is still restricted as it is very difficult to predefine an unambiguous and exhaustive ontology for any domain. The context- dependent nature of natural language makes reasoning with text information even more complicated. This book, therefore, provides the theoretical foundations of ontological engineering and covers the practical aspects of ontology learning and enhancement into a fuzzy ontology structure to accommodate uncertainties of natural language. This book can serves as a valuable resource for practicing professionals and applied researchers who are working on building search engines, ontology engineering, text mining, and knowledge-based applications. This book also accommodates the needs of graduate-level students in knowledge engineering and management course. 224 pp. Englisch.
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Ontology Engineering for Imprecise Knowledge Management
Language: English
Published by LAP Lambert Academic Publishing, 2009
ISBN 10: 3838306120 ISBN 13: 9783838306124
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Currently, knowledge engineering is strongly related to the construction of shared knowledge bases or conceptual frameworks, often designated as ontologies. Ontologies play an active role in the realization of Semantic Web by providing the basis for inter-o.
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Ontology Engineering for Imprecise Knowledge Management : Implementations, Findings and Frameworks
Language: English
Published by LAP LAMBERT Academic Publishing, 2009
ISBN 10: 3838306120 ISBN 13: 9783838306124
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Currently, knowledge engineering is strongly related to the construction of shared knowledge bases or conceptual frameworks, often designated as ontologies. Ontologies play an active role in the realization of Semantic Web by providing the basis for inter-operability of heterogeneous systems. However, use of ontology in processing information embedded in text documents is still restricted as it is very difficult to predefine an unambiguous and exhaustive ontology for any domain. The context- dependent nature of natural language makes reasoning with text information even more complicated. This book, therefore, provides the theoretical foundations of ontological engineering and covers the practical aspects of ontology learning and enhancement into a fuzzy ontology structure to accommodate uncertainties of natural language. This book can serves as a valuable resource for practicing professionals and applied researchers who are working on building search engines, ontology engineering, text mining, and knowledge-based applications. This book also accommodates the needs of graduate-level students in knowledge engineering and management course.
