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Automated Wound Image Segmentation: Transfer Learning from Human to Pet via Active Semi-Supervised Learning.
Buschi, Daniele; Curti, Nico; Cola, Veronica; Carlini, Gianluca; Sala, Claudia; Dall'Olio, Daniele; Castellani, Gastone; Pizzi, Elisa; Del Magno, Sara; Foglia, Armando; Giunti, Massimo; Pisoni, Luciano; Giampieri, Enrico.
Afiliação
  • Buschi D; Department of Physics and Astronomy, University of Bologna, 40127 Bologna, Italy.
  • Curti N; Department of Physics and Astronomy, University of Bologna, 40127 Bologna, Italy.
  • Cola V; Department of Veterinary Medical Sciences, University of Bologna, 40064 Ozzano dell'Emilia, Italy.
  • Carlini G; Department of Physics and Astronomy, University of Bologna, 40127 Bologna, Italy.
  • Sala C; Department of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy.
  • Dall'Olio D; Department of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy.
  • Castellani G; Department of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy.
  • Pizzi E; Department of Veterinary Medical Sciences, University of Bologna, 40064 Ozzano dell'Emilia, Italy.
  • Del Magno S; Department of Veterinary Medical Sciences, University of Bologna, 40064 Ozzano dell'Emilia, Italy.
  • Foglia A; Department of Veterinary Medical Sciences, University of Bologna, 40064 Ozzano dell'Emilia, Italy.
  • Giunti M; Department of Veterinary Medical Sciences, University of Bologna, 40064 Ozzano dell'Emilia, Italy.
  • Pisoni L; Department of Veterinary Medical Sciences, University of Bologna, 40064 Ozzano dell'Emilia, Italy.
  • Giampieri E; Department of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy.
Animals (Basel) ; 13(6)2023 Mar 07.
Article em En | MEDLINE | ID: mdl-36978498
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article