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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 International Workshops, LABELS 2019, HAL-MICCAI 2019, and CuRIOUS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings

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...

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Bibliographic Details
Other Authors: Zhou, Luping (Editor), Heller, Nicholas (Editor), Shi, Yiyu (Editor), Xiao, Yiming (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2019, 2019
Edition:1st ed. 2019
Series:Image Processing, Computer Vision, Pattern Recognition, and Graphics
Subjects:
Health Informatics
Computer Vision
Medical Informatics
Artificial Intelligence
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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

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