Digital Pathology

Name: Digital Pathology
Brand: Elsevier Science
SKU: 9780443138096
Price: 3669 CZK
Availability: InStock

Implementation in Clinical Practice with AI applications

Autor: Meera Hameed, Matthew G Hanna

Jazyk:

Vazba: Brožovaná

Vydavatel: Elsevier Science

Dostupnost: U nakladatele na objednávku

Odesíláme za 28-34 dnů

3 669 Kč

Digital Pathology: Implementation in Clinical Practice with AI Applications covers digital pathology...

Informace o knize

Autor

Meera Hameed, Matthew G Hanna

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2024

Stránek

352

EAN

9780443138096

ISBN

0443138095

Enbook ID

44349283

Vydavatel

Elsevier Science

Hmotnost

830

Rozměry

191 x 234

Kompletní popis

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 that can be used as a practical reference for individuals that wish to be part of the evolution of diagnostic pathology. This book includes 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 toolsPresents examples of how digital imaging and AI are drivers in research and development in radiology with parallels to situations in pathologyIncludes best practices and guidelines that can be practically applied by pathologists and data scientists

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Digital Pathology

Implementation in Clinical Practice with AI applications

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