Title 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 / Gustavo Carneiro, Diana Mateus, Loïc Peter, Andrew Bradley, João Manuel R.S. Tavares, Vasileios Belagiannis, João Paulo Papa, Jacinto C. Nascimento, Marco Loog, Zhi Lu, Jaime S. Cardoso, Julien Cornebise (eds.)

Published Cham, Switzerland : Springer, 2016

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Description 1 online resource (xiii, 280 pages) : illustrations Series Lecture notes in computer science, 0302-9743 ; 10008 LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics Lecture notes in computer science ; 10008. 0302-9743 LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics. Contents Active learning -- Semi-supervised learning -- Reinforcement learning -- Domain adaptation and transfer learning -- Crowd-sourcing annotations and fusion of labels from different sources -- Data augmentation -- Modelling of label uncertainty -- Visualization and human-computer interaction -- 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 -- Applications based on deep learning techniques Summary 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 Notes International conference proceedings Includes author index Online resource; title from PDF title page (SpringerLink, viewed October 14, 2016) Subject Medical informatics -- Congresses Artificial intelligence -- Medical applications -- Congresses Pattern recognition. Artificial intelligence. Graphics programming. Health & safety aspects of IT. Image processing. Computers -- Computer Vision & Pattern Recognition. Computers -- Intelligence (AI) & Semantics. Computers -- Computer Graphics. Medical -- General. Artificial intelligence -- Medical applications Medical informatics Genre/Form proceedings (reports) Conference papers and proceedings Conference papers and proceedings. Actes de congrès. Form Electronic book Author Carneiro, Gustavo, editor Mateus, Diana, editor Peter, Loïc, editor Bradley, Andrew, editor Tavares, João Manuel R. S., editor. Belagiannis, Vasileios, editor Papa, João Paulo, editor Nascimento, Jacinto C., editor Loog, Marco, editor. Lu, Zhi, editor Cardoso, Jaime S. (Jaime dos Santos), editor. Cornebise, Julien, editor DLMIA (Workshop) (2nd : 2016 : Athens, Greece) International Conference on Medical Image Computing and Computer-Assisted Intervention (19th : 2016 : Athens, Greece) ISBN 9783319469768 3319469762 3319469754 9783319469751

Other Titles LABELS 2016 DLMIA 2016

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