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Large-scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention : International Workshops, Labels 2019, Hal-miccai 2019, and Curious 2019, Held in Conjunction With Miccai 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings
Book 171 of 300: Lecture Notes in Computer ScienceCondition: New.
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Large-scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention : International Workshops, Labels 2019, Hal-miccai 2019, and Curious 2019, Held in Conjunction With Miccai 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings
Book 171 of 300: Lecture Notes in Computer ScienceCondition: As New. Unread book in perfect condition.
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Machine Learning in Medical Imaging: 6th International Workshop, MLMI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, ... Vision, Pattern Recognition, and Graphics)
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Machine Learning in Medical Imaging: 5th International Workshop, MLMI 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 14, 2014, ... Vision, Pattern Recognition, and Graphics)
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Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data ... (Lecture Notes in Computer Science, 13755)
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Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted ... Vision, Pattern Recognition, and Graphics)
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Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Interventio
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Graph Learning in Medical Imaging : First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019,
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Large-scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention : International Workshops, Labels 2019, Hal-miccai 2019, and Curious 2019, Held in Conjunction With Miccai 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings
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Graph Learning in Medical Imaging : First International Workshop, Glmi 2019, Held in Conjunction With Miccai 2019, Shenzhen, China, October 17, 2019, Proceedings
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Machine Learning in Medical Imaging : 5th International Workshop, Mlmi 2014, Held in Conjunction With Miccai 2014, Cambridge, Ma, USA, September 14, 2014, Proceedings
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Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Condition: New. pp. 346.
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Graph Learning in Medical Imaging : First International Workshop, Glmi 2019, Held in Conjunction With Miccai 2019, Shenzhen, China, October 17, 2019, Proceedings
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Machine Learning in Medical Imaging : 6th International Workshop, Mlmi 2015, Held in Conjunction With Miccai 2015, Munich, Germany, October 5, 2015, Proceedings
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Large-scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention : International Workshops, Labels 2019, Hal-miccai 2019, and Curious 2019, Held in Conjunction With Miccai 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings
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Machine Learning in Medical Imaging : 6th International Workshop, Mlmi 2015, Held in Conjunction With Miccai 2015, Munich, Germany, October 5, 2015, Proceedings
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Large-scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention: 4th International Workshop, Labels 2019, and First International Workshop, Hal-miccai 2019, Held in Conjunction With Miccai 2019, Shenzhen, China, Oct
Book 171 of 300: Lecture Notes in Computer ScienceLanguage: English
Published by Springer-Verlag New York Inc, 2019
ISBN 10: 3030336417 ISBN 13: 9783030336417
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Graph Learning in Medical Imaging: First International Workshop, Glmi 2019, Held in Conjunction With Miccai 2019, Shenzhen, China, October 17, 2019, Proceedings
Book 169 of 300: Lecture Notes in Computer ScienceLanguage: English
Published by Springer-Verlag New York Inc, 2020
ISBN 10: 303035816X ISBN 13: 9783030358167
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OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging : Second International Workshop, OR 2.0 2019, and Second International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings
Book 143 of 300: Lecture Notes in Computer ScienceLanguage: English
Published by Springer International Publishing, Springer International Publishing, 2019
ISBN 10: 3030326942 ISBN 13: 9783030326944
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the Second International Workshop on Context-Aware Surgical Theaters, OR 2.0 2019, and the Second International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.For OR 2.0 all 6 submissions were accepted for publication. They aim to highlight the potential use of machine vision and perception, robotics, surgical simulation and modeling, multi-modal data fusion and visualization, image analysis, advanced imaging, advanced display technologies, human-computer interfaces, sensors, wearable and implantable electronics and robots, visual attention models, cognitive models, decision support networks to enhance surgical procedural assistance, context-awareness and team communication in the operating theater, human-robot collaborative systems, and surgical training and assessment.MLCN 2019 accepted 6 papers out of 7 submissions for publication. They focus on addressing the problems of applying machine learning to large and multi-site clinical neuroimaging datasets. The workshop aimed to bring together experts in both machine learning and clinical neuroimaging to discuss and hopefully bridge the existing challenges of applied machine learning in clinical neuroscience.Chapter 5 is available open access under a Creative Commons Attribution 4.0 International License via Springerlink.
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Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention : International Workshops, LABELS 2019, HAL-MICCAI 2019, and CuRIOUS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings
Book 171 of 300: Lecture Notes in Computer ScienceLanguage: English
Published by Springer International Publishing, Springer International Publishing, 2019
ISBN 10: 3030336417 ISBN 13: 9783030336417
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed joint proceedings of the 4th International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2019, the First International Workshop on Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, HAL-MICCAI 2019, and the Second International Workshop on Correction of Brainshift with Intra-Operative Ultrasound, CuRIOUS 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 8 papers presented at LABELS 2019, the 5 papers presented at HAL-MICCAI 2019, and the 3 papers presented at CuRIOUS 2019 were carefully reviewed and selected from numerous submissions. The LABELS papers present a variety of approaches for dealing with a limited number of labels, from semi-supervised learning to crowdsourcing. The HAL-MICCAI papers cover a wide set of hardware applications inmedical problems, including medical image segmentation, electron tomography, pneumonia detection, etc. The CuRIOUS papers provide a snapshot of the current progress in the field through extended discussions and provide researchers an opportunity to characterize their image registration methods on newly released standardized datasets of iUS-guided brain tumor resection.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the First International Workshop on Graph Learning in Medical Imaging, GLMI 2019, held in conjunction with MICCAI 2019 in Shenzhen, China, in October 2019.The 21 full papers presented were carefully reviewed and selected from 42 submissions. The papers focus on major trends and challenges of graph learning in medical imaging and present original work aimed to identify new cutting-edge techniques and their applications in medical imaging.
