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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Bibliographic Details
Meeting name:	LABELS (Workshop) (4th : 2019 : Shenzhen Shi, China)
Imprint:	Cham : Springer, 2019.
Description:	1 online resource (xx, 154 pages) : illustrations (some color)
Language:	English
Series:	Lecture notes in computer science ; 11851 LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics Lecture notes in computer science ; 11851. LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
Subject:	Medical informatics -- Congresses. Biomedical engineering -- Congresses. Radiography, Medical -- Congresses. Biomedical engineering. Medical informatics. Radiography, Medical. Conference papers and proceedings.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11997931

Hidden Bibliographic Details
Other authors / contributors:	Zhou, Luping. Heller, Nicholas. Shi, Yiyu. Xiao, Yiming. HAL-MICCAI (Workshop) (1st : 2019 : Shenzhen Shi, China), jointly held conference. CuRIOUS (Workshop) (2nd : 2019 : Shenzhen Shi, China), jointly held conference. International Conference on Medical Image Computing and Computer-Assisted Intervention (22nd : 2019 : Shenzhen Shi, China), jointly held conference.
ISBN:	9783030336424 3030336425 9783030336417
Notes:	International conference proceedings. Includes bibliographical references and author index.
Summary:	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.
Standard no.:	10.1007/978-3-030-33

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