eBook - PDF
Digital Pathology
Implementation in Clinical Practice with AI applications
- 400 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Digital Pathology
Implementation in Clinical Practice with AI applications
About this book
Digital Pathology: Implementation in Clinical Practice with AI Applications covers digital pathology applications in a clinical pathology laboratory setting, providing guidance and various tools for practical implementation. This comprehensive and detailed description of nuts and bolts of digital pathology implementation is unique and comes from the experience of high throughput scanning from a large surgical pathology laboratory. This is a valuable reference to prepare the end users not only about thoughtful launch of digital pathology but also to prepare for the future use of AI mediated decision support tools as the field advances.This book covers the entire range of this topic and can be used as a practical reference for individuals that wish to be part of the evolution of diagnostic pathology. Sections include pre-analytic, analytic, and post-analytic processes, encompassing hardware, software, space, staffing, quality control, laboratory information system applications, clinical validation, use cases and future applications, including computer assisted diagnosis and decision support tools.
- Provides detailed aspects of the implementation of digital pathology in the clinical laboratory, including machine learning/artificial intelligence tools
- Presents examples of how digital imaging and AI are drivers in research and development in radiology, with parallels to situations in pathology
- Includes best practices and guidelines that can be practically applied by pathologists and data scientists
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Digital Pathology by Meera Hameed,Matthew G Hanna in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Biology. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Front Cover
- Digital Pathology
- Copyright Page
- Contents
- List of contributors
- Preface
- Acknowledgment
- 1 Basics of digital pathology
- 2 The seven S’s for success
- 3 Building a business case for digital pathology
- 4 Preanalytic factors in digital pathology implementation
- 5 Quality management in digital pathology: analytic and postanalytic phases
- 6 Use cases in surgical pathology
- 7 Use cases in cytology
- 8 Regulatory aspects of digital pathology
- 9 Standards in digital pathology
- 10 The basics of machine learning and artificial intelligence
- 11 Academic industry partnerships
- 12 Ethical aspects of using artificial intelligence in digital and computational pathology
- 13 Next-generation imaging in pathology
- Index
- Back Cover