Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations
University College London · UK Dementia Research Institute
Indexed inarxivcrossrefpubmed
Abstract
No abstract available for this paper.
Citation impact
2,557
total citations
- FWCI
- 155.30
- Percentile
- 100%
- References
- 12
Citations per year
Authors
5- CHCarole H. SudreCorresponding
University College London, UK Dementia Research Institute
- WLWenqi Li
University College London
- TVTom Vercauteren
University College London
- SOSébastien Ourselin
UK Dementia Research Institute, University College London
- MJM. Jorge Cardoso
UK Dementia Research Institute, University College London
Topics & keywords
Topics
Keywords
- Dice
- Computer science
- Segmentation
- Cross entropy
- Deep learning
- Artificial intelligence
- Metric (unit)
- Image segmentation
No related works found for this paper.
Funding
- WTWellcome Trust
- NINational Institute for Health and Care Research
- UCUniversity College LondonAwards: EP/J020990/1, EP/H046410/1, EP/K005278
- UCUniversity College London Hospitals NHS Foundation Trust
- MRMedical Research CouncilAwards: MR/J01107X/, MR/J01107X/1, MR/J01107X/1
- EAEngineering and Physical Sciences Research CouncilAwards: EP/H046410, EP/K005278, H046410, MR/J01107X/1, EP/J020990/1, EP/M020533/1, EP/H046410/1, EP/J020990/1, FP7-ICT-2011-9-601055, J020990, EP/H046410/1, WT101957
- SAScience and Technology Facilities Council
- UBUCLH Biomedical Research Centre
- FIFP7 Information and Communication TechnologiesAward: FP7-ICT-2011-9-601055