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COMPUTER VISION
MEDICAL IMAGING
MACHINE LEARNING
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About |
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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 Papers |
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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 |
Summary |
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LABELS 2020 : The 5th MICCAI Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis will take place in Lima, Peru. It’s a 5 days event starting on Oct 04, 2020 (Sunday) and will be winded up on Oct 08, 2020 (Thursday). LABELS 2020 falls under the following areas: COMPUTER VISION, MEDICAL IMAGING, MACHINE LEARNING, etc. Submissions for this Workshop can be made by Jul 06, 2020. Authors can expect the result of submission by Aug 03, 2020. Upon acceptance, authors should submit the final version of the manuscript on or before Aug 17, 2020 to the official website of the Workshop. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the LABELS 2020
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Credits and Sources |
| [1] LABELS 2020 : The 5th MICCAI Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis |
