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 /: first International Workshop, LABELS 2016, and second International Workshop, DLMIA 2016, held in conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings. (2016)
- Record Type:
- Book
- 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 /: first International Workshop, LABELS 2016, and second International Workshop, DLMIA 2016, held in conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings. (2016)
- Main 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
- Other Titles:
- LABELS 2016
DLMIA 2016 - Further Information:
- Note: 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.).
- Editors:
- Carneiro, Gustavo
Mateus, Diana
Peter, Loïc
Bradley, Andrew
Tavares, João Manuel R. S
Belagiannis, Vasileios
Papa, João Paulo
Nascimento, Jacinto C
Loog, Marco
Lü, Zhi
Cardoso, Jaime S (Jaime dos Santos)
Cornebise, Julien - Other Names:
- LABELS (Workshop), 1st
DLMIA (Workshop), 2nd
International Conference on Medical Image Computing and Computer-Assisted Intervention, 19th - 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.
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2016
- Extent:
- 1 online resource (xiii, 280 pages), illustrations
- Subjects:
- 610.285
Computer science
Medical informatics -- Congresses
Artificial intelligence -- Medical applications -- Congresses
Artificial intelligence -- Medical applications
Medical informatics
Computer Science
Image Processing and Computer Vision
Pattern Recognition
Artificial Intelligence (incl. Robotics)
Computer Graphics
Health Informatics
Computers -- Computer Vision & Pattern Recognition
Computers -- Intelligence (AI) & Semantics
Computers -- Computer Graphics
Medical -- General
Pattern recognition
Artificial intelligence
Graphics programming
Health & safety aspects of IT
Computer vision
Optical pattern recognition
Artificial intelligence
Computer graphics
Medical records -- Data processing
Image processing
Electronic books
Conference papers and proceedings - Languages:
- English
- ISBNs:
- 9783319469768
3319469762
3319469754
9783319469751 - Related ISBNs:
- 9783319469751
- Notes:
- Note: Online resource; title from PDF title page (SpringerLink, viewed October 14, 2016).
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.364003
- Ingest File:
- 01_332.xml