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Sectra (Sweden)

Sweden

12 papers here629 citations across 12
fields
  • physics.med-ph7
  • cs.CV4
  • physics.ins-det1
ROR 025nk1308OpenAlex

affiliations via OpenAlex

output
20182026
most citedPredicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge

331 citations

researchers with a paper here
  • E. Fredenberg8 · h 15
  • M. Danielsson2 profiles8 · h 32
  • M. Aslund7 · h 11
  • M. Lundqvist4 · h 22
  • B. Cederström3 · h 13
  • B. Cederstrom2 · h 6
  • Björn Cederström2
  • C. Lundström2 · h 24
  • G. Eilertsen2 · h 17
  • M. Hemmendorff2 · h 7
  • Milda Pocevičiūtė2 · h 5
  • Andrew H. Beck1 · h 54
collaborating institutions
  • KTH Royal Institute of TechnologySE8 papers
  • AlbaNovaSE4 papers
  • Linköping UniversitySE3 papers
  • Beihang UniversityCN1 paper
  • Beth Israel Deaconess Medical CenterUS1 paper
  • Charité - Universitätsmedizin BerlinDE1 paper
  • Eindhoven University of TechnologyNL1 paper
  • German Cancer Research CenterDE1 paper
  • Harvard UniversityUS1 paper
  • Heidelberg UniversityDE1 paper
  • IBM (Brazil)BR1 paper
  • IBM Research - BrazilBR1 paper
Showing 2020Show all

1 paper · 1 filter

cs.CV2020★ 42 cited

Survey of XAI in digital pathology

Milda Pocevičiūtė, Gabriel Eilertsen, Claes Lundström

Artificial intelligence (AI) has shown great promise for diagnostic imaging assessments. However, the application of AI to support medical diagnostics in clinical routine comes wit…

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