LEADER 00972nam a22002651i 4500 001 991002857999707536 005 20040616083942.0 008 040624s1937 gw |||||||||||||||||ger 035 $ab12988546-39ule_inst 035 $aARCHE-094622$9ExL 040 $aDip.to Beni Culturali$bita$cA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l. 082 04$a292.211 100 1 $aKoch, Karl$0354883 245 14$aDer römische Juppiter /$cvon Carl Koch 260 $aFrankfurt am Main :$bV. Klostermann,$c1937 300 $a136 p. ;$c25 cm 440 0$aFrankfurter Studien zur Religion und Kultur der Antike 600 04$aGiove$xCulto 650 4$aReligione romana 907 $a.b12988546$b02-04-14$c12-07-04 912 $a991002857999707536 945 $aLE001 AN XVII 35$g1$i2001000070244$lle001$nC. 1$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i13593183$z12-07-04 996 $aRömische Juppiter$9284136 997 $aUNISALENTO 998 $ale001$b12-07-04$cm$da $e-$fger$ggw $h4$i1 LEADER 05389nam 22007695 450 001 9910299057903321 005 20251116154202.0 010 $a3-642-41539-3 024 7 $a10.1007/978-3-642-41539-5 035 $a(CKB)2550000001199624 035 $a(EBL)1698367 035 $a(OCoLC)881161887 035 $a(SSID)ssj0001174391 035 $a(PQKBManifestationID)11701679 035 $a(PQKBTitleCode)TC0001174391 035 $a(PQKBWorkID)11107550 035 $a(PQKB)10620267 035 $a(MiAaPQ)EBC1698367 035 $a(DE-He213)978-3-642-41539-5 035 $a(PPN)176116532 035 $a(EXLCZ)992550000001199624 100 $a20140123d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAdvanced Computational Approaches to Biomedical Engineering /$fedited by Punam K. Saha, Ujjwal Maulik, Subhadip Basu 205 $a1st ed. 2014. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2014. 215 $a1 online resource (224 p.) 300 $aDescription based upon print version of record. 311 08$a3-642-41538-5 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aPart I ? Advanced Computational Methods -- Chap. 1 ? Graph Algorithmic Techniques for Biomedical Image Segmentation -- Chap. 2 ? Information Theoretic Clustering for Medical Image Segmentation -- Chap. 3 ? Multiobjective Differential Evolution Based Fuzzy Clustering for MR Brain Image Segmentation -- Chap. 4 ? Spectral and Non-linear Analysis of Thalamocortical Neural Mass Model Oscillatory Dynamics -- Chap. 5 ? A Meta-learning Approach for Protein Function Prediction -- Part II ? Biomedical Applications -- Chap. 6 ? Segmentation of the Carotid Arteries from 3D Ultrasound Images -- Chap. 7 ? Contemporary Problems in Quantitative Image Analysis in Structural Neuronal Plasticity -- Chap. 8 ? Advanced MRI of Cartilage and Subchondral Bone in Osteoarthritis -- Chap. 9 ? Computer Vision Based Hairline Mandibular Fracture Detection from Computed Tomography Images. 330 $aThere has been rapid growth in biomedical engineering in recent decades, given advancements in medical imaging and physiological modelling and sensing systems, coupled with immense growth in computational and network technology, analytic approaches, visualization and virtual-reality, man-machine interaction, and automation. Biomedical engineering involves applying engineering principles to the medical and biological sciences, and it comprises several topics including biomedicine, medical imaging, physiological modelling and sensing, instrumentation, real-time systems, automation and control, signal processing, image reconstruction, processing and analysis, pattern recognition, and biomechanics. It holds great promise for the diagnosis and treatment of complex medical conditions, in particular, as we can now target direct clinical applications, research and development in biomedical engineering is helping us to develop innovative implants and prosthetics, create new medical imaging technologies, and improve tools and techniques for the detection, prevention and treatment of diseases. The contributing authors in this edited book present representative surveys of advances in their respective fields, focusing in particular on techniques for the analysis of complex biomedical data. The book will be a useful reference for graduate students, researchers, and industrial practitioners in computer science, biomedical engineering, and computational and molecular biology. 606 $aArtificial intelligence 606 $aComputational intelligence 606 $aBioinformatics 606 $aOptical data processing 606 $aBiomathematics 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aComputational Biology/Bioinformatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23050 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aMathematical and Computational Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/M31000 615 0$aArtificial intelligence. 615 0$aComputational intelligence. 615 0$aBioinformatics. 615 0$aOptical data processing. 615 0$aBiomathematics. 615 14$aArtificial Intelligence. 615 24$aComputational Intelligence. 615 24$aComputational Biology/Bioinformatics. 615 24$aImage Processing and Computer Vision. 615 24$aMathematical and Computational Biology. 676 $a004 676 $a006.3 676 $a006.37 676 $a006.6 702 $aSaha$b Punam K.$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMaulik$b Ujjwal$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBasu$b Subhadip$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910299057903321 996 $aAdvanced Computational Approaches to Biomedical Engineering$92276664 997 $aUNINA