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Deep Learning and Data Labeling for Medical Applications - First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings (Paperback, 1st ed. 2016)
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Deep Learning and Data Labeling for Medical Applications - First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings (Paperback, 1st ed. 2016)
Series: Lecture Notes in Computer Science, 10008
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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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