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Region-adaptive magnetic resonance image enhancement for improving CNN-based segmentation of the prostate and prostatic zones.
Zaridis, Dimitrios I; Mylona, Eugenia; Tachos, Nikolaos; Pezoulas, Vasileios C; Grigoriadis, Grigorios; Tsiknakis, Nikos; Marias, Kostas; Tsiknakis, Manolis; Fotiadis, Dimitrios I.
Afiliação
  • Zaridis DI; Biomedical Research Institute, Foundation for Research and Technology Hellas (FORTH), Ioannina, Greece.
  • Mylona E; Biomedical Research Institute, Foundation for Research and Technology Hellas (FORTH), Ioannina, Greece.
  • Tachos N; Biomedical Research Institute, Foundation for Research and Technology Hellas (FORTH), Ioannina, Greece.
  • Pezoulas VC; Unit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, Ioannina, Greece.
  • Grigoriadis G; Unit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, Ioannina, Greece.
  • Tsiknakis N; Institute of Computer Science, Foundation for Research and Technology Hellas (FORTH), Heraklion, Greece.
  • Marias K; Institute of Computer Science, Foundation for Research and Technology Hellas (FORTH), Heraklion, Greece.
  • Tsiknakis M; Department of Electrical and Computer Engineering, Hellenic Mediterranean University, Heraklion, Greece.
  • Fotiadis DI; Institute of Computer Science, Foundation for Research and Technology Hellas (FORTH), Heraklion, Greece.
Sci Rep ; 13(1): 714, 2023 01 13.
Article em En | MEDLINE | ID: mdl-36639671
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Próstata / Processamento de Imagem Assistida por Computador Tipo de estudo: Prognostic_studies Limite: Humans / Male Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Próstata / Processamento de Imagem Assistida por Computador Tipo de estudo: Prognostic_studies Limite: Humans / Male Idioma: En Ano de publicação: 2023 Tipo de documento: Article