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 /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Zhou, Luping (Editor, http://id.loc.gov/vocabulary/relators/edt), Heller, Nicholas (Editor, http://id.loc.gov/vocabulary/relators/edt), Shi, Yiyu (Editor, http://id.loc.gov/vocabulary/relators/edt), Xiao, Yiming (Editor, http://id.loc.gov/vocabulary/relators/edt), Sznitman, Raphael (Editor, http://id.loc.gov/vocabulary/relators/edt), Cheplygina, Veronika (Editor, http://id.loc.gov/vocabulary/relators/edt), Mateus, Diana (Editor, http://id.loc.gov/vocabulary/relators/edt), Trucco, Emanuele (Editor, http://id.loc.gov/vocabulary/relators/edt), Hu, X. Sharon (Editor, http://id.loc.gov/vocabulary/relators/edt), Chen, Danny (Editor, http://id.loc.gov/vocabulary/relators/edt), Chabanas, Matthieu (Editor, http://id.loc.gov/vocabulary/relators/edt), Rivaz, Hassan (Editor, http://id.loc.gov/vocabulary/relators/edt), Reinertsen, Ingerid (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11851
• Subjects: Optical data processing.; Artificial intelligence.; Health informatics.; Image Processing and Computer Vision.; Artificial Intelligence.; Health Informatics.
• Physical Description: XX, 154 p. 62 illus., 48 illus. in color. online resource.
• ISBN: 9783030336424
• DOI: 10.1007/978-3-030-33642-4

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.