Advances in Digital Pathology and Artificial Intelligence in Pathology is a comprehensive resource in digital pathology and artificial intelligence (AI) technologies and applications for practicing pathologists, pathology trainees, and computational pathology scientists. This is a must-have guide to understand and potentially implement these latest technologies during routine practice and research activities. As pathology has been transformed in recent years by the large-scale integration of digital technology, the use of AI in pathology has seen significant technologic and practical advancements. This book lays the foundation for understanding and applying these technologies, making the book essential in both practice and research.
Key Features
1. Chapter 1 Introduction - p. 1 2. Chapter 2 Digital imaging technologies - p. 3 3. Chapter 3 Implementation of a digital pathology workflow - p. 55 4. Chapter 4 Clinical applications of digital pathology - p. 91 5. Chapter 5 Other applications of digital pathology - p. 113 6. Chapter 6 Digital cytology - p. 129 7. Chapter 7 Telepathology - p. 145 8. Chapter 8 Artificial intelligence (imaging analysis) fundamentals - p. 155 9. Chapter 9 Applications of artificial intelligence in surgical pathology - p. 179 10. Chapter 10 Artificial intelligence in cytology - p. 231 11. Chapter 11 Emerging advanced imaging technologies in digital pathology - p. 267 12. Chapter 12 Generative artificial intelligence technologies in pathology - p. 275 13. Chapter 13 Pixelomics: The pixelome as a foundation of precision pathology - p. 309 14. Chapter 14 Large language models utilizing digital pathology workflows: Impact on pathology practice - p. 337 15. Chapter 15 Usability of artificial intelligence tools in pathology practice - p. 355 16. Chapter 16 Regulations and ethical considerations in digital pathology and artificial intelligence - p. 385 17. Chapter 17 Conclusions - p. 407 18. Index - p. 411
Advances in Digital Pathology and Artificial Intelligence in Pathology is a comprehensive resource in digital pathology and artificial intelligence (AI) technologies and applications for practicing pathologists, pathology trainees, and computational pathology scientists. This is a must-have guide to understand and potentially implement these latest technologies during routine practice and research activities. As pathology has been transformed in recent years by the large-scale integration of digital technology, the use of AI in pathology has seen significant technologic and practical advancements. This book lays the foundation for understanding and applying these technologies, making the book essential in both practice and research.
Key Features
1. Chapter 1 Introduction - p. 1 2. Chapter 2 Digital imaging technologies - p. 3 3. Chapter 3 Implementation of a digital pathology workflow - p. 55 4. Chapter 4 Clinical applications of digital pathology - p. 91 5. Chapter 5 Other applications of digital pathology - p. 113 6. Chapter 6 Digital cytology - p. 129 7. Chapter 7 Telepathology - p. 145 8. Chapter 8 Artificial intelligence (imaging analysis) fundamentals - p. 155 9. Chapter 9 Applications of artificial intelligence in surgical pathology - p. 179 10. Chapter 10 Artificial intelligence in cytology - p. 231 11. Chapter 11 Emerging advanced imaging technologies in digital pathology - p. 267 12. Chapter 12 Generative artificial intelligence technologies in pathology - p. 275 13. Chapter 13 Pixelomics: The pixelome as a foundation of precision pathology - p. 309 14. Chapter 14 Large language models utilizing digital pathology workflows: Impact on pathology practice - p. 337 15. Chapter 15 Usability of artificial intelligence tools in pathology practice - p. 355 16. Chapter 16 Regulations and ethical considerations in digital pathology and artificial intelligence - p. 385 17. Chapter 17 Conclusions - p. 407 18. Index - p. 411
