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AttributesValues
Author
Bibliographic Citation
  • Loménie Nicolas, Bertrand Capucine, Fick Rutger H.J., Ben Hadj Saima, Tayart Brice, Tilmant Cyprien, Farré Isabelle, Dequen Gilles, Feng Ming, Xu Kele, Li Zimu, Prevot Sophie, Bergeron Christine, Bataillon Guillaume, Devouassoux-Shisheboran Mojgan, Glaser Claire, Delaune Agathe, Valmary-Degano Séverine, Bertheau Philippe. Can AI predict epithelial lesion categories via automated analysis of cervical biopsies: The TissueNet challenge?. Journal of Pathology Informatics, 2022, 13, pp.100149. ⟨10.1016/j.jpi.2022.100149⟩
Title
  • Can AI predict epithelial lesion categories via automated analysis of cervical biopsies: The TissueNet challenge?
dc:date
  • 2022
Digital Object Identifier (DOI)
  • 10.1016/j.jpi.2022.100149
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