The multimodality cell segmentation challenge: toward universal solutions
University Health Network · University of Toronto · +37 more institutions
Indexed incrossrefpubmed
Abstract
No abstract available for this paper.
Citation impact
137
total citations
- FWCI
- 81.04
- Percentile
- 100%
- References
- 59
Citations per year
Authors
40- JMJun MaCorresponding
University Health Network, University of Toronto, Vector Institute
- RXRonald Xie
University Health Network, University of Toronto, Vector Institute
- SAShamini Ayyadhury
University Health Network, University of Toronto, Princess Margaret Cancer Centre
- CGCheng Ge
Ocean University of China
- AGAnubha Gupta
Indraprastha Institute of Information Technology Delhi
Topics & keywords
Topics
Keywords
- Segmentation
- Benchmark (surveying)
- Computer science
- Artificial intelligence
- Image segmentation
- Multimodality
- Scale-space segmentation
- Segmentation-based object categorization
No related works found for this paper.
Funding
- CICanadian Institute for Advanced Research
- BHBritish Heart Foundation
- DFDeutsche ForschungsgemeinschaftAward: SPP 2041
- SNSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungAwards: 310030_204938, CRSK-3_190526
- CNCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of CanadaAward: NSERC, RGPIN-2020-06189 and DGECR-2020-00294
- FJForschungszentrum Jülich
- IIIndraprastha Institute of Information Technology, Delhi
- ADAlliance de recherche numérique du Canada
- NSNatural Sciences and Engineering Research Council of CanadaAwards: RGPIN-2020-06189, RGPIN-2020, DGECR-2020-00294
- SAScience and Engineering Research Board