9783030326883 - uncertainty for safe utilization of machine learning in medical imaging and clinical image-based procedures: first international workshop, unsure ... china, october 17, 2019, proceedings: 11840 (14 risultati)

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-based Procedures : First International Workshop, Unsure 2019, and 8th International Workshop, Clip 2019, Held in Conjunction With Miccai 2019, Shenzhen, China, October 17, 2019, Proceedings
Greenspan, Hayit (EDT); Tanno, Ryutaro (EDT); Erdt, Marius (EDT); Arbel, Tal (EDT); Baumgartner, Christian (EDT)
Lingua: Inglese
Editore: Springer 2019
Serie: Lecture Notes in Computer Science, Libro 148 di 300. Libro 148 di 300 - Lecture Notes in Computer Science
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-based Procedures : First International Workshop, Unsure 2019, and 8th International Workshop, Clip 2019, Held in Conjunction With Miccai 2019, Shenzhen, China, October 17, 2019, Proceedings
Greenspan, Hayit (EDT); Tanno, Ryutaro (EDT); Erdt, Marius (EDT); Arbel, Tal (EDT); Baumgartner, Christian (EDT)
Lingua: Inglese
Editore: Springer 2019
Serie: Lecture Notes in Computer Science, Libro 148 di 300. Libro 148 di 300 - Lecture Notes in Computer Science
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Lingua: Inglese
Editore: Springer 2019
Serie: Lecture Notes in Computer Science, Libro 148 di 300. Libro 148 di 300 - Lecture Notes in Computer Science
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-based Procedures : First International Workshop, Unsure 2019, and 8th International Workshop, Clip 2019, Held in Conjunction With Miccai 2019, Shenzhen, China, October 17, 2019, Proceedings
Greenspan, Hayit (EDT); Tanno, Ryutaro (EDT); Erdt, Marius (EDT); Arbel, Tal (EDT); Baumgartner, Christian (EDT)
Lingua: Inglese
Editore: Springer 2019
Serie: Lecture Notes in Computer Science, Libro 148 di 300. Libro 148 di 300 - Lecture Notes in Computer Science
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Serie: Lecture Notes in Computer Science, Libro 148 di 300. Libro 148 di 300 - Lecture Notes in Computer Science
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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-based Procedures : First International Workshop, Unsure 2019, and 8th International Workshop, Clip 2019, Held in Conjunction With Miccai 2019, Shenzhen, China, October 17, 2019, Proceedings
Greenspan, Hayit (EDT); Tanno, Ryutaro (EDT); Erdt, Marius (EDT); Arbel, Tal (EDT); Baumgartner, Christian (EDT)
Lingua: Inglese
Editore: Springer 2019
Serie: Lecture Notes in Computer Science, Libro 148 di 300. Libro 148 di 300 - Lecture Notes in Computer Science
- Brossura
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Lingua: Inglese
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Serie: Lecture Notes in Computer Science, Libro 148 di 300. Libro 148 di 300 - Lecture Notes in Computer Science
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the First International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2019, and the 8th International Workshop on Clinical Image-Based Procedures, CLIP… 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. For UNSURE 2019, 8 papers from 15 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world. CLIP 2019 accepted 11 papers from the 15 submissions received. The workshops provides a forum for work centred on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data.
Altre immaginiLingua: Inglese
Editore: Springer 2019
Serie: Lecture Notes in Computer Science, Libro 148 di 300. Libro 148 di 300 - Lecture Notes in Computer Science
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures | First International Workshop, UNSURE 2019, and 8th International Workshop, CLIP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings | Hayit Greenspan (…u. a.) | Taschenbuch | Lecture Notes in Computer Science | xvii | Englisch | 2019 | Springer | EAN 9783030326883 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Lingua: Inglese
Editore: Springer 2019
Serie: Lecture Notes in Computer Science, Libro 148 di 300. Libro 148 di 300 - Lecture Notes in Computer Science
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Lingua: Inglese
Editore: Springer International Publishing Okt 2019 2019
Serie: Lecture Notes in Computer Science, Libro 148 di 300. Libro 148 di 300 - Lecture Notes in Computer Science
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of the First International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2019, and the 8th International Workshop on Clinical Image-Based…Procedures, CLIP 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. For UNSURE 2019, 8 papers from 15 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world. CLIP 2019 accepted 11 papers from the 15 submissions received. The workshops provides a forum for work centred on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data. 212 pp. Englisch.

Lingua: Inglese
Editore: Springer International Publishing 2019
Serie: Lecture Notes in Computer Science, Libro 148 di 300. Libro 148 di 300 - Lecture Notes in Computer Science
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Da: moluna, Greven, , Germaniamoluna
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Kartoniert / Broschiert. Condizione: 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 First International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2019, and the 8th Interna…tional Workshop on Clinical Image-Based Procedures, .

Lingua: Inglese
Editore: Springer, Springer Okt 2019 2019
Serie: Lecture Notes in Computer Science, Libro 148 di 300. Libro 148 di 300 - Lecture Notes in Computer Science
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -UNSURE 2019: Uncertainty quantification and noise modelling.- Probabilistic Surface Reconstruction with Unknown Correspondence.- Probabilistic Image Registration via Deep Multi-class Classification: Characterizing Uncertainty.- Propaga…ting Uncertainty Across Cascaded Medical Imaging Tasks For Improved Deep Learning Inference.- Reg R-CNN: Lesion Detection and Grading under Noisy Labels.- Fast Nonparametric Mutual Information based Registration and Uncertainty Estimation.- Quantifying Uncertainty of deep neural networks in skin lesion classification.- UNSURE 2019: Domain shift robustness.- A Generalized Approach to Determine Confident Samples for Deep Neural Networks on Unseen Data.- Out of distribution detection for intra-operative functional imaging.- CLIP 2019.- A Clinical Measuring Platform for Building the Bridge across the Quantification of Pathological N-cells in Medical Imaging for Studies of Disease.- Spatiotemporal statistical model of anatomical landmarks on a human embryonic brain.- Spaciousness filters for non-contrast CT volume segmentation of the intestine region for emergency ileus diagnosis.- Recovering physiological changes in nasal anatomy with confidence estimates.- Synthesis of Medical Images Using GANs.- DPANet: A Novel Network Based on Dense Pyramid Feature Extractor and Dual Correlation Analysis Attention Modules for Colon Glands Segmentation.- Multi-instance deep learning with graph convolutional neural networks for diagnosis of kidney diseases using ultrasound imaging.- Data Augmentation from Sketch.- An automated CNN-based 3D anatomical landmark detection method to facilitate surface-based 3D facial shape analysis.- A Device-independent Novel Statistical Modeling for Cerebral TOF-MRA data Segmentation.- Three-dimensional face reconstruction from uncalibrated photographs: application to early detection of genetic syndromes.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 212 pp. Englisch.