Etiqueta de registo: 00254nam 2200025 450
001 2203166
003 http://id.bnportugal.gov.pt/bib/catbnp/2203166
100 ## $a20250120d2024 k y0pory01030103ba
101 0# $aeng$dpor
102 ## $aPT
105 ## $aa m 000yy
106 ## $ar
200 1# $aMultimodal cervical cancer diagnosis$edeep learning for automatic decision support$fTomé Mendes Albuquerque$gorient. Jaime dos Santos Cardoso, Maria João Medeiros de Vasconcelos
210 #9 $aPorto$c[s.n.],$d2024
215 ## $a[4], XX, 159 p.$cil.$d30 cm
328 #1 $aTese dout. Biomedical Engineering, Faculdade de Engenharia da Universidade do Porto, 2024
675 ## $a618.14-006-071(043)$vBN$zpor$31892786
700 #1 $aAlbuquerque,$bTomé Mendes$31941875
702 #1 $aCardoso,$bJaime dos Santos,$f1976-$4727$31300011
702 #1 $aVasconcelos,$bMaria João Medeiros de$4727$31319851
801 #0 $aPT$bBN$gRPC
856 40 $2Cópia digital disponível no Repositório Aberto da Universidade do Porto$uhttps://hdl.handle.net/10216/157991
966 ## $lBN$mFGMON$sS.A. 190166 V.$x1
971 ## $cisantos$d20250120
972 ## $e0$z0$d20250310$vlrevez
973 ## $cigoulao$d20250226