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Active label cleaning for improved dataset quality under resource constraints.
Bernhardt, Mélanie; Castro, Daniel C; Tanno, Ryutaro; Schwaighofer, Anton; Tezcan, Kerem C; Monteiro, Miguel; Bannur, Shruthi; Lungren, Matthew P; Nori, Aditya; Glocker, Ben; Alvarez-Valle, Javier; Oktay, Ozan.
Affiliation
  • Bernhardt M; Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK.
  • Castro DC; Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK.
  • Tanno R; Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK.
  • Schwaighofer A; Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK.
  • Tezcan KC; Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK.
  • Monteiro M; Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK.
  • Bannur S; Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK.
  • Lungren MP; Department of Radiology, Stanford University, Palo Alto, CA, 94304, USA.
  • Nori A; Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK.
  • Glocker B; Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK.
  • Alvarez-Valle J; Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK.
  • Oktay O; Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK. ozan.oktay@microsoft.com.
Nat Commun ; 13(1): 1161, 2022 03 04.
Article in En | MEDLINE | ID: mdl-35246539
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Full text: 1 Database: MEDLINE Main subject: Diagnostic Imaging / Machine Learning Type of study: Diagnostic_studies Language: En Year: 2022 Type: Article
Fulltext
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PubMed Links
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Full text: 1 Database: MEDLINE Main subject: Diagnostic Imaging / Machine Learning Type of study: Diagnostic_studies Language: En Year: 2022 Type: Article