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 (Paperback, 1st ed. 2019)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Image Processing, Computer Vision, Pattern Recognition, and Graphics, 11851
Release date:	November 2019
First published:	2019
Editors:	Luping Zhou • Nicholas Heller • Yiyu Shi • Yiming Xiao • Raphael Sznitman • Veronika Cheplygina • Diana Mateus • Emanuele Trucco • X. Sharon Hu • Danny Chen
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	154
Edition:	1st ed. 2019
ISBN-13:	978-3-03-033641-7
Categories:	Books > Medicine > Other branches of medicine > Medical imaging > General Books > Computing & IT > Applications of computing > Databases > Data capture & analysis Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-03-033641-7
Barcode:	9783030336417

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