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.

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...

Table of Contents:

• 4th International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis (LABELS 2019)
• Comparison of active learning strategies applied to lung nodule segmentation in CT scans
• Robust Registration of Statistical Shape Models for Unsupervised Pathology Annotation
• XiangyaDerm: A Clinical Image Dataset of Asian Race for Skin Disease Aided Diagnosis
• Data Augmentation based on Substituting Regional MRI Volume Scores
• Weakly supervised segmentation from extreme points
• Exploring the Relationship between Segmentation Uncertainty, Segmentation Performance and Inter-observer Variability with Probabilistic Networks
• DeepIGeoS-V2: Deep Interactive Segmentation of Multiple Organs from Head and Neck Images with Lightweight CNNs
• The Role of Publicly Available Data in MICCAI Papers from 2014 to 2018
• First International Workshop on Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention (HAL-MICCAI 2019)
• Hardware Acceleration of Persistent Homology Computation
• Deep Compressed Pneumonia Detection for Low-Power Embedded Devices
• D3MC: A Reinforcement Learning based Data-driven Dyna Model Compression
• An Analytical Method of Automatic Alignment for Electron Tomography
• Fixed-Point U-Net Quantization for Medical Image Segmentation
• Second International Workshop on Correction of Brainshift with Intra-Operative Ultrasound (CuRIOUS 2019)
• Registration of ultrasound volumes based on Euclidean distance transform
• Landmark-based evaluation of a block-matching registration framework on the RESECT pre- and intra-operative brain image data set
• Comparing deep learning strategies and attention mechanisms of discrete registration for multimodal image-guided interventions.