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作者 LABELS (Workshop) (4th : 2019 : Shenzhen Shi, China)
書名 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 / edited by Luping Zhou, Nicholas Heller, Yiyu Shi, Yiming Xiao, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, X. Sharon Hu, Danny Chen, Matthieu Chabanas, Hassan Rivaz, Ingerid Reinertsen
出版項 Cham : Springer International Publishing : Imprint: Springer, 2019
國際標準書號 9783030336424 (electronic bk.)
9783030336417 (paper)
國際標準號碼 10.1007/978-3-030-33642-4 doi
book jacket
說明 1 online resource (xx, 154 pages) : illustrations (some color), digital ; 24 cm
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
系列 Lecture notes in computer science, 0302-9743 ; 11851
Image processing, computer vision, pattern recognition, and graphics
Lecture notes in computer science ; 11851
Image processing, computer vision, pattern recognition, and graphics
附註 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
Host Item Springer eBooks
主題 Medical informatics -- Congresses
Biomedical engineering -- Congresses
Radiography, Medical -- Congresses
Image Processing and Computer Vision
Artificial Intelligence
Health Informatics
Alt Author Zhou, Luping, editor
Heller, Nicholas, editor
Shi, Yiyu, editor
Xiao, Yiming, editor
Sznitman, Raphael, editor
Cheplygina, Veronika, editor
Mateus, Diana, editor
Trucco, Emanuele, editor
Hu, X. Sharon, editor
Chen, Danny, editor
Chabanas, Matthieu, editor
Rivaz, Hassan, editor
Reinertsen, Ingerid, editor
SpringerLink (Online service)
HAL-MICCAI (Workshop) (1st : 2019 : Shenzhen Shi, China)
CuRIOUS (Workshop) (2nd : 2019 : Shenzhen Shi, China)
International Conference on Medical Image Computing and Computer-Assisted Intervention (22nd : 2019 : Shenzhen Shi, China)
Alt Title LABELS 2019
HAL-MICCAI 2019
CuRIOUS 2019
MICCAI 2019
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