LEADER 01026nam--2200361---450 001 990000641810203316 005 20240312131622.0 035 $a0064181 035 $aUSA010064181 035 $a(ALEPH)000064181USA01 035 $a0064181 100 $a20010926d1982----km-y0itay0103----ba 101 $aeng 102 $aUS 105 $a||||||||001yy 200 1 $aAssociative Algebras 210 $aNew York$cSpringer-Verlag$dc1982 215 $aXII, 436 p.$d23 cm 225 2 $aGraduate texts in mathematics$v88 410 $1001000315347$12001$aGraduate texts in mathematics$v88 610 0 $aAlgebra associativa 676 $a512.24 700 1$aPIERCE,$bRichard S.$049830 801 0$aIT$bsalbc$gISBD 912 $a990000641810203316 951 $a510 GTM 88$b9830 CBS$c510$d00109025 959 $aBK 969 $aSCI 979 $aPATTY$b90$c20010926$lUSA01$h1555 979 $c20020403$lUSA01$h1713 979 $aPATRY$b90$c20040406$lUSA01$h1644 996 $aAssociative algebras$979695 997 $aUNISA LEADER 03110nam 22006495 450 001 9910373925603321 005 20251113185927.0 010 $a3-030-39343-7 024 7 $a10.1007/978-3-030-39343-4 035 $a(CKB)4100000010121979 035 $a(DE-He213)978-3-030-39343-4 035 $a(MiAaPQ)EBC6114278 035 $a(PPN)242845894 035 $a(EXLCZ)994100000010121979 100 $a20200123d2020 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMedical Image Understanding and Analysis $e23rd Conference, MIUA 2019, Liverpool, UK, July 24?26, 2019, Proceedings /$fedited by Yalin Zheng, Bryan M. Williams, Ke Chen 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XV, 507 p. 220 illus., 164 illus. in color.) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v1065 300 $aIncludes index. 311 08$a3-030-39342-9 327 $aOncology and Tumour Imaging -- Lesion, Wound and Ulcer Analysis -- Biostatistics -- Fetal Imaging -- Enhancement and Reconstruction -- Diagnosis, Classication and Treatment -- Vessel and Nerve Analysis -- Image Registration -- Image Segmentation -- Ophthalmic Imaging -- Posters. 330 $aThis book constitutes the refereed proceedings of the 23rd Conference on Medical Image Understanding and Analysis, MIUA 2019, held in Liverpool, UK, in July 2019. The 43 full papers presented were carefully reviewed and selected from 70 submissions. There were organized in topical sections named: oncology and tumour imaging; lesion, wound and ulcer analysis; biostatistics; fetal imaging; enhancement and reconstruction; diagnosis, classification and treatment; vessel and nerve analysis; image registration; image segmentation; ophthalmic imaging; and posters. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v1065 606 $aComputer vision 606 $aMachine learning 606 $aPattern recognition systems 606 $aBioinformatics 606 $aComputer Vision 606 $aMachine Learning 606 $aAutomated Pattern Recognition 606 $aComputational and Systems Biology 615 0$aComputer vision. 615 0$aMachine learning. 615 0$aPattern recognition systems. 615 0$aBioinformatics. 615 14$aComputer Vision. 615 24$aMachine Learning. 615 24$aAutomated Pattern Recognition. 615 24$aComputational and Systems Biology. 676 $a006.6 702 $aZheng$b Yalin$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWilliams$b Bryan M$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aChen$b Ke$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910373925603321 996 $aMedical Image Understanding and Analysis$93655360 997 $aUNINA