LEADER 02107nam 2200457 450 001 996558470703316 005 20231222115631.0 010 $a3-031-45087-6 024 7 $a10.1007/978-3-031-45087-7 035 $a(MiAaPQ)EBC30775411 035 $a(Au-PeEL)EBL30775411 035 $a(DE-He213)978-3-031-45087-7 035 $a(PPN)272913782 035 $a(EXLCZ)9928477903700041 100 $a20231222d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aComputational Mathematics Modeling in Cancer Analysis $eSecond International Workshop, CMMCA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings /$fWenjian Qin [and five others] editors 205 $aFirst edition. 210 1$aCham, Switzerland :$cSpringer,$d[2023] 210 4$dİ2023 215 $a1 online resource (182 pages) 225 1 $aLecture Notes in Computer Science Series ;$vVolume 14243 311 08$aPrint version: Qin, Wenjian Computational Mathematics Modeling in Cancer Analysis Cham : Springer,c2023 9783031450860 320 $aIncludes bibliographical references and index. 330 $aThis volume LNCS 14243 constitutes the refereed proceedings of the Second International Workshop, CMMCA 2023, Held in Conjunction with MICCAI 2023, on October 8, 2023, in Vancouver, BC, Canada. The 17 full papers presented were carefully reviewed and selected from 25 submissions. The conference focuses on the discovery of cutting-edge techniques addressing trends and challenges in theoretical, computational, and applied aspects of mathematical cancer data analysis. 410 0$aLecture notes in computer science ;$vVolume 14243. 606 $aCancer$xImaging 615 0$aCancer$xImaging. 676 $a616.9940754 702 $aQin$b Wenjian 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996558470703316 996 $aComputational mathematics modeling in cancer analysis$93033891 997 $aUNISA