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Arctic Research Centre

Sweden

4 papers here405 citations across 4
fields
  • cond-mat.mes-hall1
  • cs.CV1
  • cs.DM1
  • physics.comp-ph1
ROR 002egtp29OpenAlex

affiliations via OpenAlex

output
20122025
most citedReal-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning

405 citations

researchers with a paper here
  • A. Funston1 · h 30
  • Anssi Koskinen1 · h 0
  • Antti Mikkonen1 · h 4
  • Benedicta Sherrie1 · h 0
  • Dag Johansen1 · h 30
  • Debesh Jha1 · h 35
  • Haavard D. Johansen1 · h 10
  • H. Lindqvist1 · h 24
  • Johanna Tamminen1 · h 5
  • J. Rittscher1 · h 38
  • Laszlo Frazer1 · h 15
  • M. Riegler1 · h 50
collaborating institutions
  • AlmegaSE1 paper
  • Australian Regenerative Medicine InstituteAU1 paper
  • Clayton FoundationCH1 paper
  • Innovative Cryogenic Engineering (United Kingdom)GB1 paper
  • Metropolitan UniversityBD1 paper
  • Microsoft (India)IN1 paper
  • Monash UniversityAU1 paper
  • Open Data InstituteGB1 paper
  • OsloMet – Oslo Metropolitan UniversityNO1 paper
  • Oxford BioMedica (United Kingdom)GB1 paper
  • Simula Metropolitan Center for Digital EngineeringNO1 paper
  • UiT The Arctic University of NorwayNO1 paper
Showing 2020Show all

1 paper · 1 filter

cs.CV2020★ 405 cited

Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning

Debesh Jha, Sharib Ali, Nikhil Kumar Tomar +5

Computer-aided detection, localisation, and segmentation methods can help improve colonoscopy procedures. Even though many methods have been built to tackle automatic detection and…

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