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Large-scale annotation of biomedical...
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(1998 :)
Large-scale annotation of biomedical data and expert label synthesis and hardware aware learning for medical imaging and computer assisted interventionInternational Workshops, LABELS 2019, HAL-MICCAI 2019, and CuRIOUS 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019 : proceedings /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Large-scale annotation of biomedical data and expert label synthesis and hardware aware learning for medical imaging and computer assisted interventionedited by Luping Zhou ... [et al.].
Reminder of title:
International Workshops, LABELS 2019, HAL-MICCAI 2019, and CuRIOUS 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019 : proceedings /
remainder title:
LABELS 2019
other author:
Zhou, Luping.
corporate name:
Published:
Cham :Springer International Publishing :2019.
Description:
xx, 154 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Medical informaticsCongresses.
Online resource:
https://doi.org/10.1007/978-3-030-33642-4
ISBN:
9783030336424$q(electronic bk.)
Large-scale annotation of biomedical data and expert label synthesis and hardware aware learning for medical imaging and computer assisted interventionInternational Workshops, LABELS 2019, HAL-MICCAI 2019, and CuRIOUS 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019 : proceedings /
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 /[electronic resource] :LABELS 2019edited by Luping Zhou ... [et al.]. - Cham :Springer International Publishing :2019. - xx, 154 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,118510302-9743 ;. - Lecture notes in computer science ;4891..
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 in medical 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.
ISBN: 9783030336424$q(electronic bk.)
Standard No.: 10.1007/978-3-030-33642-4doiSubjects--Topical Terms:
384533
Medical informatics
--Congresses.
LC Class. No.: R858.A2 / L33 2019
Dewey Class. No.: 006.37
Large-scale annotation of biomedical data and expert label synthesis and hardware aware learning for medical imaging and computer assisted interventionInternational 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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edited by Luping Zhou ... [et al.].
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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 in medical 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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based on 0 review(s)
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EB R858.A2 L116 2019 2019
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https://doi.org/10.1007/978-3-030-33642-4
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