LEADER 01169nam--2200385---450- 001 990000859370203316 005 20050518114533.0 010 $a0-226-67322-7 035 $a0085937 035 $aUSA010085937 035 $a(ALEPH)000085937USA01 035 $a0085937 100 $a20020109d1990----km-y0itay0103----ba 101 $aeng 102 $aUS 105 $a||||||||001yy 200 1 $aErotic faith$ebeing in love from Jane Austen to D.H. Lawrence$fRobert M. Polhemus 210 $aChicago$cThe university of Chicago$d1990 215 $aXII, 363 p.$ctav., ill.$d24 cm 410 $12001 606 $aLetteratura narrativa inglese$xStoria$zSec. 19.-20. 676 $a823.7 700 1$aPOLHEMUS,$bRobert M.$0551217 801 0$aIT$bsalbc$gISBD 912 $a990000859370203316 951 $aVII.3.C. 37(IL i I 378)$b74211 EC$cIL i I 959 $aBK 969 $aECO 979 $aPATTY$b90$c20020109$lUSA01$h1552 979 $aPATTY$b90$c20020109$lUSA01$h1553 979 $c20020403$lUSA01$h1731 979 $aPATRY$b90$c20040406$lUSA01$h1659 979 $aCOPAT3$b90$c20050518$lUSA01$h1145 996 $aErotic faith$9968808 997 $aUNISA LEADER 04381nam 22006255 450 001 9911015864603321 005 20250702130308.0 010 $a9783031862700$b(electronic bk.) 010 $z9783031862694 024 7 $a10.1007/978-3-031-86270-0 035 $a(MiAaPQ)EBC32189538 035 $a(Au-PeEL)EBL32189538 035 $a(CKB)39567932100041 035 $a(OCoLC)1526861652 035 $a(DE-He213)978-3-031-86270-0 035 $a(EXLCZ)9939567932100041 100 $a20250702d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Analysis of Microscopy Images $eA Veterinary Medicine Perspective /$fby Elvira Gagniuc 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (180 pages) 311 08$aPrint version: Gagniuc, Elvira Computational Analysis of Microscopy Images Cham : Springer,c2025 9783031862694 327 $aChapter 1. Computational Analysis in Veterinary Medicine -- Chapter 2. Fundamentals of Microscopy in Veterinary Pathology -- Chapter 3. Computational Image Analysis -- Chapter 4. Image Preprocessing Techniques -- Chapter 5. Image Segmentation and Feature Extraction -- Chapter 6. Quantitative Image Analysis in Veterinary Medicine -- Chapter 7. Machine Learning and AI in Microscopy Image Analysis. 330 $aThis application-based guide fills a unique niche in the veterinary medical field by merging advanced computational techniques with the practical needs of veterinary pathology. With increasing prevalence of digital pathology, there is a burgeoning requirement to navigate veterinary professionals in the utilization of computational methods and the enhancement of diagnostic accuracy. This book caters to this demand, presenting the material in an accessible way to novices, technologists, and pathologists. Written from the perspective of a seasoned veterinary pathologist, it ensures that the techniques described are relevant and directly usable. Beginning with an exploration of microscopy fundamentals, the first part includes sample preparation, staining, and slide digitization. Subsequent chapters introduce readers to computational image analysis and the basics of image processing, tools, software, and successful integration of computational analysis into veterinary practice. Moreover, the book covers advanced topics such as image enhancement, reconstruction, quantitative analysis, and the application of machine learning and AI in microscopy image analysis. It provides insight into state-of-the-art imaging techniques like fluorescence and confocal microscopy, electron microscopy, and explores the innovations from nano to macro scales. The incorporation of case studies and sample workflows allows this work to demonstrate the practical benefits of computational image analysis in veterinary medicine, with improvements in diagnostic accuracy and workflow efficiency. It serves as a learning resource for continuous professional development, helping veterinary pathologists stay abreast of technological advances in image analysis. Serving veterinary professionals, pathologists, researchers, and computational biologists alike, this book is an essential resource for anyone looking to harness the power of computational tools and AI in veterinary medicine. 606 $aVeterinary medicine 606 $aImaging systems in biology 606 $aAnatomy, Comparative 606 $aVeterinary microbiology 606 $aVeterinary Science 606 $aBiological Imaging 606 $aAnimal Anatomy 606 $aVeterinary Microbiology 606 $aVeterinary Clinical Medicine 615 0$aVeterinary medicine. 615 0$aImaging systems in biology. 615 0$aAnatomy, Comparative. 615 0$aVeterinary microbiology. 615 14$aVeterinary Science. 615 24$aBiological Imaging. 615 24$aAnimal Anatomy. 615 24$aVeterinary Microbiology. 615 24$aVeterinary Clinical Medicine. 676 $a636.089 700 $aGagniuc$b Elvira$01833388 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9911015864603321 996 $aComputational Analysis of Microscopy Images$94408317 997 $aUNINA