LEADER 00889nam a2200253 i 4500 001 991000297729707536 008 030520s2000 it 000 0 ita 020 $a8823805910 035 $ab12596528-39ule_inst 040 $aFac. Economia$bita 082 0 $a332.742 100 1 $aGiampaoli, Attilio$0115235 245 10$aBanca e impresa /$cAttilio Giampaoli 260 $aMilano :$bEGEA,$c2000 300 $a272 p. ;$c25 cm 490 $aBiblioteca dell'economia d'azienda ;$v64 500 $aCon bibliografia 650 4$aImprese$xFinanziamenti bancari 907 $a.b12596528$b29-05-18$c10-02-04 912 $a991000297729707536 945 $aLE025 ECO 332.7 GIA01.01$g1$i2025000093157$lle025$nCatalogato 2018$op$pE24.79$q-$rl$s- $t0$u18$v11$w18$x0$y.i13248273$z01-04-04 996 $aBanca e impresa$9277814 997 $aUNISALENTO 998 $ale025$b10-02-04$cm$da $e-$fita$git $h0$i1 LEADER 03359nam 22007455 450 001 996668470303316 005 20250712074738.0 010 $a3-031-96202-8 024 7 $a10.1007/978-3-031-96202-8 035 $a(MiAaPQ)EBC32205724 035 $a(Au-PeEL)EBL32205724 035 $a(CKB)39622846600041 035 $a(DE-He213)978-3-031-96202-8 035 $a(OCoLC)1528362553 035 $a(EXLCZ)9939622846600041 100 $a20250709d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFast, Low-Resource, Accurate Robust Organ and Pan-cancer Segmentation $eMICCAI Challenge, FLARE 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings /$fedited by Jun Ma, Bo Wang 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (476 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15717 311 08$a3-031-96201-X 330 $aThis book constitutes the proceedings of the MICCAI 2024 Challenge, FLARE 2024, held in Conjunction with MICCAI 2024, in Marrakesh, Morocco, during October 2024. The 20 full papers included in this book were carefully reviewed and selected from 24 submissions. They describe the solutions the participants found for automatic abdominal organ and pan-cancer segmentation using the official training dataset released for this pupose. This challenge focuses on both organ and pan-cancer segmentation, including three subtasks: Subtask 1: Pan-cancer segmentation in CT scans Subtask 2: Abdominal CT organ segmentation on laptop Subtask 3: Unsupervised domain adaptation for abdominal organ segmentation in MRI Scans. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15717 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aArtificial intelligence 606 $aComputer networks 606 $aApplication software 606 $aEducation$xData processing 606 $aSoftware engineering 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aArtificial Intelligence 606 $aComputer Communication Networks 606 $aComputer and Information Systems Applications 606 $aComputers and Education 606 $aSoftware Engineering 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aArtificial intelligence. 615 0$aComputer networks. 615 0$aApplication software. 615 0$aEducation$xData processing. 615 0$aSoftware engineering. 615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aArtificial Intelligence. 615 24$aComputer Communication Networks. 615 24$aComputer and Information Systems Applications. 615 24$aComputers and Education. 615 24$aSoftware Engineering. 676 $a006 700 $aMa$b Jun$0642034 701 $aWang$b Bo$0712665 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996668470303316 996 $aFast, Low-Resource, Accurate Robust Organ and Pan-cancer Segmentation$94411442 997 $aUNISA