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Artificial intelligence in digital breast pathology: Techniques and applications.
Ibrahim, Asmaa; Gamble, Paul; Jaroensri, Ronnachai; Abdelsamea, Mohammed M; Mermel, Craig H; Chen, Po-Hsuan Cameron; Rakha, Emad A.
Affiliation
  • Ibrahim A; Department of Histopathology, Division of Cancer and Stem Cells, School of Medicine, The University of Nottingham and Nottingham University Hospitals NHS Trust, Nottingham City Hospital, Nottingham, NG5 1PB, UK.
  • Gamble P; Google Health, Google, Palo Alto, CA, USA.
  • Jaroensri R; Google Health, Google, Palo Alto, CA, USA.
  • Abdelsamea MM; School of Computing and Digital Technology, Birmingham City University, Birmingham, UK.
  • Mermel CH; Google Health, Google, Palo Alto, CA, USA.
  • Chen PC; Google Health, Google, Palo Alto, CA, USA.
  • Rakha EA; Department of Histopathology, Division of Cancer and Stem Cells, School of Medicine, The University of Nottingham and Nottingham University Hospitals NHS Trust, Nottingham City Hospital, Nottingham, NG5 1PB, UK. Electronic address: Emad.Rakha@nottingham.ac.uk.
Breast ; 49: 267-273, 2020 Feb.
Article in En | MEDLINE | ID: mdl-31935669
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Artificial Intelligence / Image Interpretation, Computer-Assisted Limits: Female / Humans Language: En Journal: Breast Journal subject: ENDOCRINOLOGIA / NEOPLASIAS Year: 2020 Document type: Article Affiliation country:
Fulltext
Add to My VHL
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Artificial Intelligence / Image Interpretation, Computer-Assisted Limits: Female / Humans Language: En Journal: Breast Journal subject: ENDOCRINOLOGIA / NEOPLASIAS Year: 2020 Document type: Article Affiliation country: