LEADER 00731oam 2200253z- 450 001 9910482879403321 005 20200107074517.0 010 $a3-662-07330-7 035 $a(CKB)3790000000563775 035 $a(EXLCZ)993790000000563775 100 $a20181028d1988uuuu -y- - 101 0 $aeng 200 10$aFundamentals of Stability Theory 210 $cSpringer-Verlag$d1988 210 31$a[Place of publication not identified]$cSpringer Berlin Heidelberg$d1988 311 $a3-662-07332-3 311 $a3-540-15298-9 606 $aMathematics 615 1 $aMathematics 701 $aBaldwin$b John T$042553 906 $aBOOK 912 $a9910482879403321 996 $aFundamentals of stability theory$979046 997 $aUNINA LEADER 04683nam 22006615 450 001 9911034958103321 005 20251024130447.0 010 $a9789819532728$b(electronic bk.) 010 $z9789819532711 024 7 $a10.1007/978-981-95-3272-8 035 $a(MiAaPQ)EBC32375402 035 $a(Au-PeEL)EBL32375402 035 $a(CKB)41732130300041 035 $a(DE-He213)978-981-95-3272-8 035 $a(EXLCZ)9941732130300041 100 $a20251024d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Cytology $eAdvancements and Applications with Artificial Intelligence /$fby Pranab Dey 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (354 pages) 225 1 $aMedicine Series 311 08$aPrint version: Dey, Pranab Computational Cytology Singapore : Springer,c2025 9789819532711 327 $aSection I: Computational Integration in Cytology -- Chapter 1. Introduction to Computational Cytology -- Chapter 2. Digital Cytology: The Cornerstone of Computational Cytology -- Chapter 3. Digital Workflow in Cytology -- Section II: Major Components of Computational Cytology -- Chapter 4. Data acquisition and preparation in Computational Cytology -- Chapter 5. Overview of Artificial neural network -- Section III: Computational Techniques and Tools -- Chapter 6. Image Processing for Cytology -- Chapter 7. Deep Learning in Computational Cytology -- Chapter 8. Natural Language Processing in Cytology Reports -- Section IV: Applications of Computational Cytology -- Chapter 9. Diagnosis of Cancer -- Chapter 10. Molecular Data Interpretation by artificial intelligence -- Chapter 11. Automation in Cytology Laboratory -- Chapter 12. Personalized Medicine and Computational Cytology -- Section V: Advanced Topics and Emerging Trends -- Chapter 13. Multi-modal Data Fusion by combining imaging, clinical and molecular data -- Chapter 14. Data storage, security and Ethical issues in Computational Cytology -- Chapter 15. Future Directions, and challenges in Computational Cytology -- Section VI: Hands-On and Practical Applications -- Chapter 16. A practical guide to build the Computational Model -- Chapter 17. Software and Tools for Computational Cytology -- Chapter 18. Data management, data Sharing in Computational Cytology -- Section VII: Challenges and Future Directions -- Chapter 20. Current Limitations and solution in Computational Cytology. 330 $aThis book provides information on how to integrate modern computational tools into traditional cytology, addressing the need to analyze digital images, molecular data, proteomic data, and clinical information. Divided into 21 chapters, it discusses computational techniques, including data pre-processing, building a neural network model, and implementing the model. Further chapters cover the basics of the digitalization of cytological images, handling multiple modes of data, artificial intelligence for cell classification, and applications of computational cytology. Ethical and practical challenges, as well as the integration of artificial intelligence in cytology workflows, are also discussed. The book is supplemented with ample illustrations and tables to aid decision-making. The book serves as a practical guide for pathologists, researchers, professionals in bioinformatics, and computer scientists, helping them understand how to integrate digital and molecular data into cytology for research, diagnosis, cancer screening, personalized management, and drug discovery. 410 0$aMedicine Series 606 $aPathology 606 $aBiomathematics 606 $aArtificial intelligence 606 $aBioinformatics 606 $aBiomedical engineering 606 $aPathology 606 $aMathematical and Computational Biology 606 $aArtificial Intelligence 606 $aBioinformatics 606 $aMedical and Health Technologies 615 0$aPathology. 615 0$aBiomathematics. 615 0$aArtificial intelligence. 615 0$aBioinformatics. 615 0$aBiomedical engineering. 615 14$aPathology. 615 24$aMathematical and Computational Biology. 615 24$aArtificial Intelligence. 615 24$aBioinformatics. 615 24$aMedical and Health Technologies. 676 $a616.07 700 $aDey$b Pranab$0782503 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9911034958103321 996 $aComputational Cytology$94449009 997 $aUNINA