LEADER 04258nam 22008775 450 001 996465948303316 005 20200701125331.0 010 $a3-642-35428-9 024 7 $a10.1007/978-3-642-35428-1 035 $a(CKB)3400000000102912 035 $a(SSID)ssj0000810208 035 $a(PQKBManifestationID)11446159 035 $a(PQKBTitleCode)TC0000810208 035 $a(PQKBWorkID)10827206 035 $a(PQKB)10850671 035 $a(DE-He213)978-3-642-35428-1 035 $a(MiAaPQ)EBC6284791 035 $a(MiAaPQ)EBC5576936 035 $a(Au-PeEL)EBL5576936 035 $a(OCoLC)820211453 035 $a(PPN)168328658 035 $a(EXLCZ)993400000000102912 100 $a20121116d2012 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aMachine Learning in Medical Imaging$b[electronic resource] $eThird International Workshop, MLMI 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012, Revised Selected Papers /$fedited by Fei Wang, Dinggang Shen, Pingkun Yan, Kenji Suzuki 205 $a1st ed. 2012. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2012. 215 $a1 online resource (XII, 276 p. 91 illus.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v7588 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-35427-0 320 $aIncludes bibliographical references and author index. 330 $aThis book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Medical Imaging, MLMI 2012, held in conjunction with MICCAI 2012, in Nice, France, in October 2012. The 33 revised full papers presented were carefully reviewed and selected from 67 submissions. The main aim of this workshop is to help advance the scientific research within the broad field of machine learning in medical imaging. It focuses on major trends and challenges in this area, and it presents work aimed to identify new cutting-edge techniques and their use in medical imaging. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v7588 606 $aOptical data processing 606 $aPattern recognition 606 $aArtificial intelligence 606 $aDatabase management 606 $aComputer graphics 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22005 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aComputer Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22013 610 1 $aMLMI 610 1 $aMICCAI 610 1 $aMedical imaging 615 0$aOptical data processing. 615 0$aPattern recognition. 615 0$aArtificial intelligence. 615 0$aDatabase management. 615 0$aComputer graphics. 615 14$aImage Processing and Computer Vision. 615 24$aPattern Recognition. 615 24$aArtificial Intelligence. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aDatabase Management. 615 24$aComputer Graphics. 676 $a616.0754 702 $aWang$b Fei$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aShen$b Dinggang$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYan$b Pingkun$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSuzuki$b Kenji$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aMLMI (Workshop) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465948303316 996 $aMachine Learning in Medical Imaging$91918862 997 $aUNISA