Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11851)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
- CuRIOUS: MICCAI Challenge on Correction of Brainshift with Intra-Operative Ultrasound
- HAL-MICCAI: International Workshop on Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention
- LABELS: International Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis
Conference proceedings info: CuRIOUS 2019, HAL-MICCAI 2019, LABELS 2019.
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Table of contents (16 papers)
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4th International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis (LABELS 2019)
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First International Workshop on Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention (HAL-MICCAI 2019)
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Second International Challenge on Correction of Brainshift with Intra-Operative Ultrasound (CuRIOUS 2019)
Other volumes
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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
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention
Book Subtitle: International Workshops, LABELS 2019, HAL-MICCAI 2019, and CuRIOUS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings
Editors: 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
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-33642-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-33641-7Published: 21 November 2019
eBook ISBN: 978-3-030-33642-4Published: 20 November 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XX, 154
Number of Illustrations: 14 b/w illustrations, 48 illustrations in colour
Topics: Image Processing and Computer Vision, Artificial Intelligence, Health Informatics