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LABELS 2020 : The 5th MICCAI Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis

Lima, Peru
Event Date: Oct 04, 2020 - Oct 08, 2020
Submission Deadline: Jul 06, 2020
Notification of Acceptance: Aug 03, 2020
Camera Ready Version Due : Aug 17, 2020

About

Data scarcity is arguably the single most prohibitive barrier to progress in medical image computing. Ostensibly, there are two ways to address it, (1) to collect, curate, and annotate massive datasets, and (2) to develop methods which achieve the same performance with less data. In its 4-year history, LABELS has convened one per year at the MICCAI conference to facilitate the presentation and discussion of ideas in both of these areas.

Call For Paper

The goal of LABELS is to bring researchers together to share ideas and resources around the principled collection and annotation of biomedical data. The workshop will feature a diverse program including keynote talks from world-renowned experts in this area, interactive sessions in which participants work together to form coherent positions on relevant issues, and paper submissions addressing any of the following topics

– Crowdsourcing
– Open Data and Open Scientific Practices
– Verification and Validation of Labels
– Data Augmentation
– Semi-supervised learning
– Active learning
– Domain Adaptation, Self-supervision, and Transfer Learning
– Human Factors in Data Curation
– Modeling Label Uncertainty
– Training and Evaluation in the Presence of Noise
– Data Descriptors

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