Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 129,71
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 135,57
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Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 129,41
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 142,43
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 129,69
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 134,68
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 142,71
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Condizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 152,95
Quantità: 10 disponibili
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 153,85
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: Majestic Books, Hounslow, Regno Unito
EUR 171,70
Quantità: 3 disponibili
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Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Condizione: As New. Unread book in perfect condition.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 173,49
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Aggiungi al carrelloCondizione: New. 2025. 1st Edition. hardcover. . . . . .
Da: CitiRetail, Stevenage, Regno Unito
EUR 147,61
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. 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 moreDetailed discussion of medical image segmentation divided by area, incorporating all major organs and organ systemsRecent deep learning advancements in segmenting brain tumors, retinal vessels, and inner ear structuresAnalyzes the effectiveness of deep learning models in segmenting lung fields for respiratory disease diagnosisExplores the application and benefits of Generative Adversarial Networks (GANs) in enhancing medical image segmentationIdentifies and discusses the key challenges faced in medical image segmentation using deep learning techniquesProvides 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: moluna, Greven, Germania
EUR 142,45
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EUR 193,24
Quantità: 3 disponibili
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 183,02
Quantità: 10 disponibili
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Condizione: New. 1st edition NO-PA16APR2015-KAP.
EUR 192,87
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
EUR 214,53
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 221,12
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 206,38
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Aggiungi al carrelloCondizione: New. In.
Lingua: Inglese
Editore: JOHN WILEY NP (ORIGINAL)45, 2025
ISBN 10: 1394245335 ISBN 13: 9781394245338
Da: UK BOOKS STORE, London, LONDO, Regno Unito
EUR 215,38
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: 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 7-12 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.
EUR 214,32
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 224,39
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. 2025. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 197,34
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Neuware - Apply revolutionary deep learning technology to the fast-growing field of medical image segmentation.
EUR 275,31
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 280 pages. 9.18x6.12x9.45 inches. In Stock.
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. 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 moreDetailed discussion of medical image segmentation divided by area, incorporating all major organs and organ systemsRecent deep learning advancements in segmenting brain tumors, retinal vessels, and inner ear structuresAnalyzes the effectiveness of deep learning models in segmenting lung fields for respiratory disease diagnosisExplores the application and benefits of Generative Adversarial Networks (GANs) in enhancing medical image segmentationIdentifies and discusses the key challenges faced in medical image segmentation using deep learning techniquesProvides 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. This book addresses social and complex network analysis challenges, exploring social network structures, dynamic networks, and hierarchical communities. Emphasizing network structure heterogeneity, including directionality and dynamics, it covers community structure concepts like distinctness, overlap, and hierarchy. The book aims to present challenges and innovative solutions in community structure detection, incorporating diversity into problem-solving. Furthermore, it explores the applications of identified community structures within network analysis, offering insights into social network dynamics.Investigates the practical applications and uses of community structures identified from network analysis across various domains of real-world networksHighlights the challenges encountered in analyzing community structures and presents state-of-the-art approaches designed to address these challengesSpans into various domains like business intelligence, marketing, and epidemics, examining influential node detection and crime within social networksExplores methodologies for evaluating the quality and accuracy of community detection modelsExamines a diverse range of challenges and offers innovative solutions in the field of detecting community structures from social networksThe book is a ready reference for researchers and scholars of Computer Science and Computational Social Systems working in the area of Community Structure Analysis from Social Network Data. This book addresses social and complex network analysis challenges, exploring social network structures, dynamic networks, and hierarchical communities. Emphasising network structure heterogeneity, including directionality and dynamics, it covers community structure concepts like distinctness, overlap, and hierarchy. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.