Untitled Document
2nd Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis
(LABELS 2017)
Sep 14, 2017,Quebec, Canada
Call for Papers:
There has been an increasing interest of the MICCAI community for data-driven methods such as supervised learning techniques. The effectiveness of such approaches often depends on their access to sufficiently large quantities of labelled data of good quality. Despite the increasing amount of acquired clinical data, the availability of ready-to-use annotations is very limited.
Topics:
- Active learning
- Semi-supervised learning
- Reinforcement learning
- Domain adaptation and transfer learning
- Crowdsourcing
- Fusion of labels from different sources
- Data augmentation
- Modelling of label uncertainty
- Visualization and human-computer interaction
Important Dates:
- Workshop/Tutorial Proposal deadline:Jun 12, 2017
- Notification of Acceptance:Jul 7, 2017
- Final Version Due:Jul 17, 2017
User Name : Jackson
Posted 29-03-2017 on 14:51:11 AEDT
Related CFPs
IJCCMS
International Journal of Chaos, Control, Modelling and Simulation
ORAJ
Operations Research and Applications: An International Journal
JARES
International Journal of Advance Robotics & Expert Systems
JARES
International Journal of Advance Robotics & Expert Systems