26 citations
- University College LondonGB5 papers
- CRUK Lung Cancer Centre of ExcellenceGB2 papers
- Imperial College LondonGB2 papers
- Institute of Cancer ResearchGB2 papers
- Biotechnologisches ZentrumDE1 paper
- Breast Cancer NowGB1 paper
- Cancer Institute (WIA)IN1 paper
- Cancer Research UKGB1 paper
- Center for Systems Biology DresdenDE1 paper
- Central European UniversityAT1 paper
- Department of Science and TechnologyIN1 paper
- Group Image (Poland)PL1 paper
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cs.CV2024★ 13 cited
OMG-Net: A Deep Learning Framework Deploying Segment Anything to Detect Pan-Cancer Mitotic Figures from Haematoxylin and Eosin-Stained Slides
Zhuoyan Shen, Mikael Simard, Douglas Brand +14
Mitotic activity is an important feature for grading several cancer types. Counting mitotic figures (MFs) is a time-consuming, laborious task prone to inter-observer variation. Ina…
cs.CV2018★ 4 cited
Small Organ Segmentation in Whole-body MRI using a Two-stage FCN and Weighting Schemes
Vanya V. Valindria, Ioannis Lavdas, Juan Cerrolaza +4
Accurate and robust segmentation of small organs in whole-body MRI is difficult due to anatomical variation and class imbalance. Recent deep network based approaches have demonstra…