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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Data Augmentation, Labelling, and Imperfections: Third MICCAI Workshop, DALI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, ... (Lecture Notes in Computer Science)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections
Language: English
Published by Springer Nature Switzerland AG, CH, 2021
ISBN 10: 3030882098 ISBN 13: 9783030882099
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Paperback. Condition: New. 1st ed. 2021.
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Data Augmentation, Labelling, and Imperfections: Second MICCAI Workshop, DALI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections : First Workshop, Dgm4miccai 2021, and First Workshop, Dali 2021, Held in Conjunction With Miccai 2021, Strasbourg, France, October 1, 2021, Proceedings
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections (Image Processing, Computer Vision, Pattern Recognition, and Graphics)
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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections : First Workshop, Dgm4miccai 2021, and First Workshop, Dali 2021, Held in Conjunction With Miccai 2021, Strasbourg, France, October 1, 2021, Proceedings
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: As New. Unread book in perfect condition.
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections
Language: English
Published by Springer, Berlin|Springer International Publishing|Springer, 2021
ISBN 10: 3030882098 ISBN 13: 9783030882099
Condition: New. This book constitutes the refereed proceedings of the First MICCAI Workshop on Deep Generative Models, DG4MICCAI 2021, and the First MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2021, held in conjunction with MICCAI 2021, in Oct.
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Data Augmentation, Labelling, and Imperfections : Second MICCAI Workshop, DALI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
Language: English
Published by Springer Nature Switzerland, 2022
ISBN 10: 3031170261 ISBN 13: 9783031170263
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the Second MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2022, held in conjunction with MICCAI 2022, in Singapore in September 2022.DALI 2022 accepted 12 papers from the 22 submissions that were reviewed. The papers focus on rigorous study of medical data related to machine learning systems.
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Data Augmentation, Labelling, and Imperfections : Third MICCAI Workshop, DALI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings
Language: English
Published by Springer Nature Switzerland, Springer Nature Switzerland, 2024
ISBN 10: 3031581709 ISBN 13: 9783031581700
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This LNCS conference volume constitutes the proceedings of the 3rd International Workshop onData Augmentation, Labeling, and Imperfections (DALI 2023), held on October 12, 2023, in Vancouver, Canada, in conjunction with the 26th InternationalConference on Medical Image Computing and Computer Assisted Intervention(MICCAI 2023). The 16 full papers together in this volume were carefully reviewed and selected from 23 submissions.The conference fosters a collaborative environment for addressing the critical challenges associated with medical data, particularly focusing on data, labeling, and dealing with data imperfections in the context of medical image analysis.
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Taschenbuch. Condition: Neu. Data Augmentation, Labelling, and Imperfections | Second MICCAI Workshop, DALI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings | Hien V. Nguyen (u. a.) | Taschenbuch | Lecture Notes in Computer Science | x | Englisch | 2022 | Springer | EAN 9783031170263 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condition: Neu. Data Augmentation, Labelling, and Imperfections | Third MICCAI Workshop, DALI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings | Yuan Xue (u. a.) | Taschenbuch | Lecture Notes in Computer Science | x | Englisch | 2024 | Springer | EAN 9783031581700 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the First MICCAI Workshop on Deep Generative Models, DG4MICCAI 2021, and the First MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2021, held in conjunction with MICCAI 2021, in October 2021. The workshops were planned to take place in Strasbourg, France, but were held virtually due to the COVID-19 pandemic.DG4MICCAI 2021 accepted 12 papers from the 17 submissions received. The workshop focusses on recent algorithmic developments, new results, andpromising future directions in Deep Generative Models. Deep generative modelssuch as Generative Adversarial Network (GAN) and Variational Auto-Encoder(VAE) are currently receiving widespread attention from not only the computervision and machine learning communities, but also in the MIC and CAI community.For DALI 2021, 15 papers from 32 submissions were accepted for publication. They focus on rigorousstudy of medical data related to machine learning systems.
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Taschenbuch. Condition: Neu. Deep Generative Models, and Data Augmentation, Labelling, and Imperfections | First Workshop, DGM4MICCAI 2021, and First Workshop, DALI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings | Sandy Engelhardt (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xv | Englisch | 2021 | Springer | EAN 9783030882099 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Deep Generative Models, and Data Augmentation, Labelling, and Imperfections
Language: English
Published by Springer Nature Switzerland AG, CH, 2021
ISBN 10: 3030882098 ISBN 13: 9783030882099
Paperback. Condition: New. 1st ed. 2021.
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Condition: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher | This LNCS conference volume constitutes the proceedings of the 3rd International Workshop onData Augmentation, Labeling, and Imperfections (DALI 2023), held on October 12, 2023, in Vancouver, Canada, in conjunction with the 26th InternationalConference on Medical Image Computing and Computer Assisted Intervention(MICCAI 2023). The 16 full papers together in this volume were carefully reviewed and selected from 23 submissions.The conference fosters a collaborative environment for addressing the critical challenges associated with medical data, particularly focusing on data, labeling, and dealing with data imperfections in the context of medical image analysis.
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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This LNCS conference volume constitutes the proceedings of the 3rd International Workshop onData Augmentation, Labeling, and Imperfections (DALI 2023), held on October 12, 2023, in Vancouver, Canada, in conjunction with the 26th InternationalConference on Medical Image Computing and Computer Assisted Intervention(MICCAI 2023). The 16 full papers together in this volume were carefully reviewed and selected from 23 submissions.The conference fosters a collaborative environment for addressing the critical challenges associated with medical data, particularly focusing on data, labeling, and dealing with data imperfections in the context of medical image analysis.
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Condition: New. 2024th edition NO-PA16APR2015-KAP.
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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book constitutes the refereed proceedings of the Second MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2022, held in conjunction with MICCAI 2022, in Singapore in September 2022.DALI 2022 accepted 12 papers from the 22 submissions that were reviewed. The papers focus on rigorous study of medical data related to machine learning systems.
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Data Augmentation, Labelling, and Imperfections: Third Miccai Workshop, Dali 2023, Held in Conjunction With Miccai 2023, Vancouver, Bc, Canada, October 12, 2023, Proceedings
Language: English
Published by Springer-Nature New York Inc, 2024
ISBN 10: 3031581709 ISBN 13: 9783031581700
Paperback. Condition: Brand New. 178 pages. 9.25x6.10x9.21 inches. In Stock.
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Condition: new. Questo è un articolo print on demand.
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Data Augmentation, Labelling, and Imperfections
Language: English
Published by Springer Nature Switzerland, Springer Nature Switzerland Jul 2024, 2024
ISBN 10: 3031581709 ISBN 13: 9783031581700
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 -This LNCS conference volume constitutes the proceedings of the 3rd International Workshop onData Augmentation, Labeling, and Imperfections (DALI 2023), held on October 12, 2023, in Vancouver, Canada, in conjunction with the 26th InternationalConference on Medical Image Computing and Computer Assisted Intervention(MICCAI 2023). The 16 full papers together in this volume were carefully reviewed and selected from 23 submissions.The conference fosters a collaborative environment for addressing the critical challenges associated with medical data, particularly focusing on data, labeling, and dealing with data imperfections in the context of medical image analysis. 180 pp. Englisch.
