Performance and Limitations of a Supervised Deep Learning Approach for the Histopathological Oxford Classification of Glomeruli with IgA Nephropathy / Altini, Nicola; Rossini, Michele; Turkevi-Nagy, Sándor; Pesce, Francesco; Pontrelli, Paola; Prencipe, Berardino; Berloco, Francesco; Seshan, Surya; Gibier, Jean-Baptiste; Pedraza Dorado, Anibal; Bueno, Gloria; Peruzzi, Licia; Rossi, Mattia; Eccher, Albino; Li, Feifei; Koumpis, Adamantios; Beyan, Oya; Barratt, Jonathan; Vo, Huy Quoc; Mohan, Chandra; Nguyen, Hien Van; Cicalese, Pietro Antonio; Ernst, Angela; Gesualdo, Loreto; Bevilacqua, Vitoantonio; Becker, Jan Ulrich. - In: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. - ISSN 0169-2607. - (2023), p. 107814. [10.1016/j.cmpb.2023.107814]
Performance and Limitations of a Supervised Deep Learning Approach for the Histopathological Oxford Classification of Glomeruli with IgA Nephropathy
Altini, Nicola;Prencipe, Berardino;Berloco, Francesco;Bevilacqua, Vitoantonio
;
2023-01-01
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.