EAN: 9783319469751

DEEP LEARNING AND DATA LABELING FOR MEDICAL APP...

This book constitutes the refereed proceedings of two workshops held at the 19th International
Conference on Medical Image Computing and Computer-Assisted Intervention  MICCAI 2016  in
Athens  Greece  in October 2016: the First Workshop on Large-Scale Annotation of Biomedical
Data and Expert Label Synthesis  LABELS 2016  and the Second International Workshop on Deep
Learning in Medical Image Analysis  DLMIA 2016. The 28 revised regular papers presented in this
book were carefully reviewed and selected from a total of 52 submissions. The 7 papers selected
for LABELS deal with topics from the following fields: crowd-sourcing methods  active learning
transfer learning  semi-supervised learning  and modeling of label uncertainty.The 21 papers
selected for DLMIA span a wide range of topics such as image description  medical imaging-based
diagnosis  medical signal-based diagnosis  medical image reconstruction and model selection
using deep learning techniques  meta-heuristic techniques for fine-tuning parameter in deep
learning-based architectures  and applications based on deep learning techniques.

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