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Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support : Second International Workshop, Imimic 2019, and 9th International Workshop, Ml-cds 2019, Held in Conjunction With Miccai 2019, Shenzhen, China, October 17, 2019, Proceedings
Libro 159 di 300: Lecture Notes in Computer ScienceDa: GreatBookPrices, Columbia, MD, U.S.A.
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Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support : Second International Workshop, Imimic 2019, and 9th International Workshop, Ml-cds 2019, Held in Conjunction With Miccai 2019, Shenzhen, China, October 17, 2019, Proceedings
Libro 159 di 300: Lecture Notes in Computer ScienceDa: GreatBookPrices, Columbia, MD, U.S.A.
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Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support (Image Processing, Computer Vision, Pattern Recognition, and Graphics)
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Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support (Image Processing, Computer Vision, Pattern Recognition, and Graphics)
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Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support : Second International Workshop, Imimic 2019, and 9th International Workshop, Ml-cds 2019, Held in Conjunction With Miccai 2019, Shenzhen, China, October 17, 2019, Proceedings
Libro 159 di 300: Lecture Notes in Computer ScienceDa: GreatBookPricesUK, Woodford Green, Regno Unito
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Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and ... Learning (Lecture Notes in Computer Science)
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Interpretability Of Machine Intelligence
Libro 159 di 300: Lecture Notes in Computer ScienceDa: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and . (Lecture Notes in Computer Science, 12969)
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Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support : Second International Workshop, Imimic 2019, and 9th International Workshop, Ml-cds 2019, Held in Conjunction With Miccai 2019, Shenzhen, China, October 17, 2019, Proceedings
Libro 159 di 300: Lecture Notes in Computer ScienceDa: GreatBookPricesUK, Woodford Green, Regno Unito
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Clinical Image-based Procedures, Distrib
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Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and . Learning (Lecture Notes in Computer Science)
Da: Books Puddle, New York, NY, U.S.A.
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Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support: Second International Workshop, Imimic 2019, and 9th International Workshop, Ml-cds 2019, Held in Conjunction With Miccai 2019, Shenzhen, China, Octobe
Libro 159 di 300: Lecture Notes in Computer ScienceLingua: Inglese
Editore: Springer-Verlag New York Inc, 2019
ISBN 10: 3030338495 ISBN 13: 9783030338497
Da: Revaluation Books, Exeter, Regno Unito
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Interpretability Of Machine Intelligence
Libro 159 di 300: Lecture Notes in Computer ScienceDa: Kennys Bookstore, Olney, MD, U.S.A.
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Clinical Image-based Procedures, Distrib
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Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support : Second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
Libro 159 di 300: Lecture Notes in Computer ScienceEUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed joint proceedings of the Second International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2019, and the 9th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2019,held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019.The 7 full papers presented at iMIMIC 2019 and the 3 full papers presented at ML-CDS 2019 were carefully reviewed and selected from 10 submissions to iMIMIC and numerous submissions to ML-CDS. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning.
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Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support | Second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support | Second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings | Kenji Suzuki (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xvi | Englisch | 2019 | Springer | EAN 9783030338497 | 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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Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning : 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Workshop, LL-COVID19 2021, and First Workshop and Tutorial, PPML 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings
Lingua: Inglese
Editore: Springer International Publishing, 2021
ISBN 10: 3030908739 ISBN 13: 9783030908737
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 10thInternational Workshop on Clinical Image-Based Procedures, CLIP 2021, Second MICCAI Workshop on Distributed and Collaborative Learning, DCL 2021, First MICCAI Workshop, LL-COVID19, First Secure and Privacy-Preserving Machine Learning for Medical Imaging Workshop and Tutorial, PPML 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.CLIP 2021 accepted 9 papers from the 13 submissions received. It focuses on holistic patient models for personalized healthcare with the goal to bring basic research methods closer to the clinical practice.For DCL 2021, 4 papers from 7 submissions were accepted for publication. They deal with machine learning applied to problems where data cannot be stored in centralized databases and information privacy is a priority. LL-COVID19 2021 accepted 2 papers out of 3 submissions dealing with the use of AI models in clinical practice. And for PPML 2021, 2 papers were accepted from a total of 6 submissions, exploring the use of privacy techniques in the medical imaging community.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning | 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Workshop, LL-COVID19 2021, and First Workshop and Tutorial, PPML 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings | Cristina Oyarzun Laura (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xxv | Englisch | 2021 | Springer | EAN 9783030908737 | 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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Decision Forests
Da: Mispah books, Redhill, SURRE, Regno Unito
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Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support (eng)
Libro 159 di 300: Lecture Notes in Computer ScienceDa: Brook Bookstore On Demand, Napoli, NA, Italia
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Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning (eng)
Da: Brook Bookstore On Demand, Napoli, NA, Italia
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Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support
Libro 159 di 300: Lecture Notes in Computer ScienceLingua: Inglese
Editore: Springer International Publishing Okt 2019, 2019
ISBN 10: 3030338495 ISBN 13: 9783030338497
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed joint proceedings of the Second International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2019, and the 9th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2019,held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019.The 7 full papers presented at iMIMIC 2019 and the 3 full papers presented at ML-CDS 2019 were carefully reviewed and selected from 10 submissions to iMIMIC and numerous submissions to ML-CDS. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning. 112 pp. Englisch.
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Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support (Image Processing, Computer Vision, Pattern Recognition, and Graphics)
Libro 159 di 300: Lecture Notes in Computer ScienceDa: Majestic Books, Hounslow, Regno Unito
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Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning
Lingua: Inglese
Editore: Springer International Publishing Nov 2021, 2021
ISBN 10: 3030908739 ISBN 13: 9783030908737
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of the 10thInternational Workshop on Clinical Image-Based Procedures, CLIP 2021, Second MICCAI Workshop on Distributed and Collaborative Learning, DCL 2021, First MICCAI Workshop, LL-COVID19, First Secure and Privacy-Preserving Machine Learning for Medical Imaging Workshop and Tutorial, PPML 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.CLIP 2021 accepted 9 papers from the 13 submissions received. It focuses on holistic patient models for personalized healthcare with the goal to bring basic research methods closer to the clinical practice.For DCL 2021, 4 papers from 7 submissions were accepted for publication. They deal with machine learning applied to problems where data cannot be stored in centralized databases and information privacy is a priority. LL-COVID19 2021 accepted 2 papers out of 3 submissions dealing with the use of AI models in clinical practice. And for PPML 2021, 2 papers were accepted from a total of 6 submissions, exploring the use of privacy techniques in the medical imaging community. 216 pp. Englisch.
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Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support (Image Processing, Computer Vision, Pattern Recognition, and Graphics)
Libro 159 di 300: Lecture Notes in Computer ScienceDa: Biblios, Frankfurt am main, HESSE, Germania
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Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and . Learning (Lecture Notes in Computer Science)
Da: Majestic Books, Hounslow, Regno Unito
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Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and . Learning (Lecture Notes in Computer Science)
Da: Biblios, Frankfurt am main, HESSE, Germania
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Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support
Libro 159 di 300: Lecture Notes in Computer ScienceLingua: Inglese
Editore: Springer International Publishing, 2019
ISBN 10: 3030338495 ISBN 13: 9783030338497
EUR 48,37
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book constitutes the refereed joint proceedings of the Second International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2019, and the 9th International Workshop on Multimodal Learning for Clinical Decision.
-
Clinical Image-based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning
Lingua: Inglese
Editore: Springer International Publishing, 2021
ISBN 10: 3030908739 ISBN 13: 9783030908737
EUR 52,76
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Spedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book constitutes the refereed proceedings of the 10th International Workshop on Clinical Image-Based Procedures, CLIP 2021, Second MICCAI Workshop on Distributed and Collaborative Learning, DCL 2021, First MICCAI Workshop, LL-COVID19, First Secure.
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Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support
Libro 159 di 300: Lecture Notes in Computer ScienceLingua: Inglese
Editore: Springer, Springer Okt 2019, 2019
ISBN 10: 3030338495 ISBN 13: 9783030338497
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book constitutes the refereed joint proceedings of the Second International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2019, and the 9th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019.The 7 full papers presented at iMIMIC 2019 and the 3 full papers presented at ML-CDS 2019 were carefully reviewed and selected from 10 submissions to iMIMIC and numerous submissions to ML-CDS. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 112 pp. Englisch.
