Etiqueta de registo: 00881nam 2200253 450
001 2118506
003 http://id.bnportugal.gov.pt/bib/catbnp/2118506
100 ## $a20221214d2022 m y0pory01030103ba
101 0# $aeng$dpor
102 ## $aPT
105 ## $aa m 000yy
106 ## $ar
200 1# $aEnhanced digital breast tomosynthesis diagnosis using 3D visualization and automatic classification of lesions$fAna Margarida de Almeida Mota$gorient. Pedro Almeida, Matthew Clarkson, Nuno Matela
210 #9 $aLisboa$c[s.n.],$d2022
215 ## $aXXVIII, 153 p.$cil.$d30 cm$ecurriculum vitae (6 p.)
328 #0 $bTese dout. Engenharia Biomédica e Biofísica, Faculdade de Ciências, Universidade de Lisboa, 2022
675 ## $a616-073.7(043)$vBN$zpor$31238717
675 ## $a618.19-006(043)$vBN$zpor$3386366
700 #1 $aMota,$bAna Margarida de Almeida,$f1987-$31866698
702 #1 $aAlmeida,$bPedro Miguel Raposo de,$f1965-$4727$3261458
702 #1 $aClarkson,$bMatthew$4727$31866699
702 #1 $aMatela,$bNuno Miguel de Pinto Lobo e,$f1978-$4727$31428888
801 #0 $aPT$bBN$gRPC
856 40 $2Cópia digital disponível no Repositório Universidade de Lisboa$uhttp://hdl.handle.net/10451/55608
966 ## $lBN$mFGMON$sS.A. 183724 V.$x1
971 ## $ccsilva$d20221215
972 ## $d20221229$e0$vlrevez$z0
973 ## $cigoulao$d20230316