LEADER 03767nam 22006855 450 001 996466278903316 005 20200630044746.0 010 $a3-030-35210-2 024 7 $a10.1007/978-3-030-35210-3 035 $a(CKB)4100000009845016 035 $a(DE-He213)978-3-030-35210-3 035 $a(MiAaPQ)EBC5979162 035 $a(PPN)248601806 035 $a(EXLCZ)994100000009845016 100 $a20191114d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMathematical and Computational Oncology$b[electronic resource] $eFirst International Symposium, ISMCO 2019, Lake Tahoe, NV, USA, October 14?16, 2019, Proceedings /$fedited by George Bebis, Takis Benos, Ken Chen, Katharina Jahn, Ernesto Lima 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XXIII, 99 p. 117 illus., 26 illus. in color.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v11826 311 $a3-030-35209-9 320 $aIncludes bibliographical references and index. 327 $aSpecial Track: Tumor evolvability and intra-tumor heterogeneity -- Imaging and scientific visualization for cancer research -- Statistical methods and data mining for cancer research (SMDM) -- Spatio-temporal tumor modeling and simulation (STTMS). 330 $aThis book constitutes the refereed proceedings of the First International Symposium on Mathematical and Computational Oncology, ISMCO'2019, held in Lake Tahoe, NV, USA, in October 2019. The 7 full papers presented were carefully reviewed and selected from 30 submissions. The papers are organized in topical sections named: Tumor evolvability and intra-tumor heterogeneity; Imaging and scientific visualization for cancer research; Statistical methods and data mining for cancer research (SMDM); Spatio-temporal tumor modeling and simulation (STTMS). 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v11826 606 $aOptical data processing 606 $aSoftware engineering 606 $aArtificial intelligence 606 $aMathematical statistics 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aSoftware Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/I14029 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aProbability and Statistics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17036 615 0$aOptical data processing. 615 0$aSoftware engineering. 615 0$aArtificial intelligence. 615 0$aMathematical statistics. 615 14$aImage Processing and Computer Vision. 615 24$aSoftware Engineering. 615 24$aArtificial Intelligence. 615 24$aProbability and Statistics in Computer Science. 676 $a006.6 676 $a006.37 702 $aBebis$b George$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBenos$b Takis$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aChen$b Ken$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aJahn$b Katharina$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLima$b Ernesto$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466278903316 996 $aMathematical and computational oncology$92169006 997 $aUNISA LEADER 01529nam a2200373 a 4500 001 991001806259707536 008 120913s2011 enka 000 0 eng d 020 $a9780521149761 (v. 1) 020 $a9781107648814 (v. 2) 035 $ab14073584-39ule_inst 040 $aDip.to Matematica e Fisica$beng 082 00$a511.34 084 $aAMS 14E18 084 $aAMS 14G22 084 $aAMS 03C60 084 $aLC QA9.7.M68 245 00$aMotivic integration and its interactions with model theory and non-Archimedean geometry /$cedited by Raf Cluckers, Johannes Nicaise, Julien Sebag 260 $aCambridge ;$aNew York :$bCambridge University Press,$c2011 300 $a2 v. :$bill. ;$c23 cm 440 0$aLondon Mathematical Society lecture note series,$x0076-0552 ;$v383-384 650 0$aModel theory 650 0$aValued fields 650 0$aAnalytic spaces 650 0$aGeometry, Algebraic 700 1 $aCluckers, Raf 700 1 $aNicaise, Johannes 700 1 $aSebag, Julien 907 $a.b14073584$b02-10-12$c13-09-12 912 $a991001806259707536 945 $aLE013 14E CLU11 V.I (2011)$cV. 1$g1$i2013000216010$lle013$op$pE57.44$q-$rl$s- $t0$u0$v0$w0$x0$y.i15443553$z26-09-12 945 $aLE013 14E CLU11 V.II (2011)$cV. 2$g1$i2013000216027$lle013$op$pE51.06$q-$rl$s- $t0$u0$v0$w0$x0$y.i15443565$z26-09-12 996 $aMotivic integration and its interactions with model theory and non-Archimedean geometry$9239998 997 $aUNISALENTO 998 $ale013$b13-09-12$cm$da $e-$feng$genk$h0$i0