Can AI predict epithelial lesion categories via automated analysis of cervical biopsies: The TissueNet challenge? - Loménie, Nicolas; Bertrand, Capucine; Fick, Rutger H.J.; Ben Hadj, Saima; Tayart, Brice; Tilmant, Cyprien; Farré, Isabelle; Azdad, Soufiane Z.; Dahmani, Samy; Dequen, Gilles; Feng, Ming; Xu, Kele; et al. (Journal of pathology informatics, 2022)
Keywords: Artificial Intelligence; Computer Science; Data challenge; Life Sciences; Original; Uterine cervix; Whole slide images; Data challenge; Whole slide images; Uterine cervix; Artificial intelligence