LEADER 00827nam0-22003131i-450 001 990003325150403321 005 20220712121627.0 035 $a000332515 035 $aFED01000332515 035 $a(Aleph)000332515FED01 035 $a000332515 100 $a20001010d1964----km-y0itay50------ba 101 0 $aeng 102 $aGB 105 $ay-------001yy 200 1 $aMany inventions$fby Rudyard Kipling 210 $aLondon$cMacMillan & Co. Ltd.$d1964 215 $aIX, 288 p.$d17 cm 610 0 $aNarrativa inglese 676 $a823.912 700 1$aKipling,$bRudyard$f<1865-1936>$05091 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990003325150403321 952 $a045 KIP /8$bLINGUE 032900$fDECLI 959 $aDECLI 996 $aMany Inventions$9447637 997 $aUNINA DB $aING01 LEADER 04105nam 22005295 450 001 9910254824403321 005 20220629140350.0 010 $a1-4471-7320-1 024 7 $a10.1007/978-1-4471-7320-5 035 $a(CKB)3710000001127441 035 $a(DE-He213)978-1-4471-7320-5 035 $a(MiAaPQ)EBC5575377 035 $a(PPN)199764549 035 $a(EXLCZ)993710000001127441 100 $a20170329d2017 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGuide to Medical Image Analysis $eMethods and Algorithms /$fby Klaus D. Toennies 205 $a2nd ed. 2017. 210 1$aLondon :$cSpringer London :$cImprint: Springer,$d2017. 215 $a1 online resource (XXIV, 589 p. 384 illus., 197 illus. in color.) 225 1 $aAdvances in Computer Vision and Pattern Recognition,$x2191-6586 311 $a1-4471-7318-X 320 $aIncludes bibliographical references and index. 327 $aThe Analysis of Medical Images -- Digital Image Acquisition -- Image Storage and Transfer -- Image Enhancement -- Feature Detection -- Segmentation: Principles and Basic Techniques -- Segmentation in Feature Space -- Segmentation as a Graph Problem -- Active Contours and Active Surfaces -- Registration and Normalization -- Shape, Appearance and Spatial Relationships -- Classification and Clustering -- Validation -- Appendix. 330 $aThis comprehensive guide provides a uniquely practical, application-focused introduction to medical image analysis. The text presents a concise examination of each of the key concepts, enabling the reader to understand the interdependencies between them before delving deeper into the derivations and technical details. This fully updated new edition has been enhanced with material on the latest developments in the field, whilst retaining the original focus on segmentation, classification and registration. Topics and features: Presents learning objectives, exercises and concluding remarks in each chapter, in addition to a glossary of abbreviations Describes a range of common imaging techniques, reconstruction techniques and image artifacts, and discusses the archival and transfer of images Reviews an expanded selection of techniques for image enhancement, feature detection, feature generation, segmentation, registration, and validation (NEW) Examines analysis methods in view of image-based guidance in the operating room, designed to aid the operator in adapting their intervention during an operation (NEW) Discusses the use of deep convolutional networks for segmentation and labeling tasks, describing how this network architecture differs from multi-layer perceptrons (NEW) Includes appendices on Markov random field optimization, variational calculus and principal component analysis This clearly-written guide/reference serves as a classroom-tested textbook for courses on medical image processing and analysis, with suggestions for course outlines supplied in the preface. Professionals in medical imaging technology, as well as computer scientists and electrical engineers specializing in medical applications, will also find the book an ideal resource for self-study. 410 0$aAdvances in Computer Vision and Pattern Recognition,$x2191-6586 606 $aOptical data processing 606 $aRadiology 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aImaging / Radiology$3https://scigraph.springernature.com/ontologies/product-market-codes/H29005 615 0$aOptical data processing. 615 0$aRadiology. 615 14$aImage Processing and Computer Vision. 615 24$aImaging / Radiology. 676 $a616.0754 700 $aToennies$b Klaus D$4aut$4http://id.loc.gov/vocabulary/relators/aut$01060341 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254824403321 996 $aGuide to Medical Image Analysis$92512553 997 $aUNINA LEADER 02273nam 2200565Ia 450 001 9910957328503321 005 20251116141020.0 010 $a0-309-18418-5 010 $a0-309-51434-7 035 $a(CKB)110986584752862 035 $a(EBL)3375376 035 $a(SSID)ssj0000097875 035 $a(PQKBManifestationID)11121635 035 $a(PQKBTitleCode)TC0000097875 035 $a(PQKBWorkID)10121176 035 $a(PQKB)10893574 035 $a(MiAaPQ)EBC3375376 035 $a(Au-PeEL)EBL3375376 035 $a(CaPaEBR)ebr10038649 035 $a(OCoLC)923255948 035 $a(EXLCZ)99110986584752862 100 $a20001013d1999 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 04$aThe Advanced Technology Program $echallenges and opportunities /$fCharles W. Wessner, editor 205 $a1st ed. 210 $aWashington, D.C. $cNational Academy Press$d1999 215 $a1 online resource (137 p.) 300 $aDescription based upon print version of record. 311 08$a0-309-06775-8 320 $aIncludes bibliographical references. 327 $a""Front Matter""; ""Contents""; ""Preface""; ""Introduction""; ""Welcome""; ""Introduction to the Symposium""; ""Opening Remarks""; ""Panel I: History and Current Legislative Perspective on the ATP Program""; ""Panel II: Program Objectives""; ""Panel III: Research Perspectives on the ATP""; ""Panel IV: Capital Markets and New Technologies""; ""Panel V: Extending Assessmenta??? Challenges and Opportunities""; ""Panel VI: Observations and Policy Issues""; ""Annex A: Bibliography""; ""Annex B: Participants List"" 606 $aResearch, Industrial$xGovernment policy$zUnited States 606 $aTechnology and state$zUnited States 606 $aResearch and development partnership$zUnited States 615 0$aResearch, Industrial$xGovernment policy 615 0$aTechnology and state 615 0$aResearch and development partnership 676 $a338.97306 701 $aWessner$b Charles W$0857991 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910957328503321 996 $aThe Advanced Technology Program$94368533 997 $aUNINA