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Minimum resolution requirements of digital pathology images for accurate classification.
Neary-Zajiczek, Lydia; Beresna, Linas; Razavi, Benjamin; Pawar, Vijay; Shaw, Michael; Stoyanov, Danail.
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  • Neary-Zajiczek L; Wellcome/EPSRC Centre for Interventional and Surgical Sciences, Charles Bell House, 43-45 Foley Street, Fitzrovia, London, W1W 7TS, United Kingdom; Department of Computer Science, University College London, Gower Street, London, WC1E 6BT, United Kingdom. Electronic address: lydia.zajiczek.17@ucl.ac.
  • Beresna L; Department of Computer Science, University College London, Gower Street, London, WC1E 6BT, United Kingdom.
  • Razavi B; University College London Medical School, 74 Huntley Street, London, WC1E 6BT, United Kingdom.
  • Pawar V; Department of Computer Science, University College London, Gower Street, London, WC1E 6BT, United Kingdom.
  • Shaw M; Wellcome/EPSRC Centre for Interventional and Surgical Sciences, Charles Bell House, 43-45 Foley Street, Fitzrovia, London, W1W 7TS, United Kingdom; Department of Computer Science, University College London, Gower Street, London, WC1E 6BT, United Kingdom; National Physical Laboratory, Hampton Road, T
  • Stoyanov D; Wellcome/EPSRC Centre for Interventional and Surgical Sciences, Charles Bell House, 43-45 Foley Street, Fitzrovia, London, W1W 7TS, United Kingdom; Department of Computer Science, University College London, Gower Street, London, WC1E 6BT, United Kingdom.
Med Image Anal ; 89: 102891, 2023 Oct.
Article en En | MEDLINE | ID: mdl-37536022
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Med Image Anal Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2023 Tipo del documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Med Image Anal Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2023 Tipo del documento: Article