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Royal National Orthopaedic Hospital

United Kingdom

1 paper here13 citations across 1
fields
  • cs.CV1
ROR 043j9bc42OpenAlex

affiliations via OpenAlex

most citedOMG-Net: A Deep Learning Framework Deploying Segment Anything to Detect Pan-Cancer Mitotic Figures from Haematoxylin and Eosin-Stained Slides

13 citations

researchers with a paper here
  • Adrienne M. Flanagan1 · h 7
  • Ali Al-Khader1 · h 6
  • C. Collins-Fekete1 · h 17
  • Douglas H. Brand1 · h 3
  • E. Kara1 · h 22
  • F. Amary1 · h 23
  • Fatine Oumlil1 · h 2
  • G. Royle1 · h 5
  • Katherine E. Trevers1 · h 3
  • Maria A. Hawkins1 · h 3
  • M. Simard1 · h 1
  • Paul Cool1 · h 9
collaborating institutions
  • Keele UniversityGB1 paper
  • London CancerGB1 paper
  • Robert Jones and Agnes Hunt Orthopaedic HospitalGB1 paper
  • Rutgers, The State University of New JerseyUS1 paper
  • University College LondonGB1 paper
  • University College London Hospitals NHS Foundation TrustGB1 paper
  • University Hospital of BaselCH1 paper

1 paper

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…

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