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

Responsibility: 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.).
Digital: text file; PDF
Publication: Cham, Switzerland : Springer, 2016.
Physical description: 1 online resource (xiii, 280 pages) : illustrations
Series: Lecture notes in computer science ; 10008. 0302-9743; LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.

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Description

Creators/Contributors

Meeting: LABELS (Workshop) (1st : 2016 : Athens, Greece)
Contributor: 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)

Contents/Summary

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.

Subjects

Subjects: 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.

Bibliographic information

Publication date: 2016
Title variation: LABELS 2016; DLMIA 2016
Series: Lecture notes in computer science, 0302-9743 ; 10008; LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics
Note: International conference proceedings.; Includes author index.
ISBN: 9783319469768 (electronic bk.); 3319469762 (electronic bk.); 3319469754; 9783319469751; 9783319469751 (print)
DOI: 10.1007/978-3-319-46976-8

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