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Advances in Digital Pathology and Artificial Intelligence in Pathology - Couverture souple

 
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Synopsis

Advances in Digital Pathology and Artificial Intelligence in Pathology is a comprehensive resource in digital pathology and 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 with the large-scale integration of digital technology and AI there has been a great deal of technologic and practical advancements. This book lays the foundation of understanding these technologies as well as applying them making the book essential in both practice and research.

  • Presents detailed color figures to illustrate digital pathology technology and workflow, along with representative images of applications of artificial intelligence in pathology
  • Includes digital pathology applications in education, research, quality improvement and others
  • Offers clinical applications such as surgical pathology (guidelines, hardware/software, validation, training, adoption, remote sign-out, etc.), secondary consultation, MDT, archiving, and QA

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À propos des auteurs

Dr. Anil V. Parwani is Chair and Professor of Pathology at The Ohio State University. Dr. Parwani is also the Director of Pathology Informatics and Director of the Digital Pathology Shared Resource at The James Cancer Hospital. Dr. Parwani has expertise in Anatomic Pathology Informatics including, applications of whole slide imaging, digital imaging, telepathology, image analysis and lab automation. Dr. Parwani has authored over 250 peer-reviewed articles in major scientific journals and several books and book chapters. Dr. Parwani is the Editor-in-chief of Diagnostic Pathology and one of the Editors of the Journal of Pathology Informatics.



Zaibo Li, MD, Ph.D, MBA is a Professor of Pathology, Director of Cytopathology and Cytopathology Fellowship Program, Associate Director of Digital and Computational Pathology at The Ohio State University. He holds an Endowed Professorship (University Pathology Services Anatomic Pathology Professorship). His academic interest and expertise include digital pathology, AI in pathology, breast/gynecological pathology, and cytopathology. He has published more than 170 scientific articles and many book chapters. He is currently served as section or associate editor/editorial board for several Pathology Journals and served in multiple national society committees.

À propos de la quatrième de couverture

Advances in Digital Pathology and Artificial Intelligence in Pathology is a comprehensive resource in digital pathology and 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 with the large-scale integration of digital technology and AI there has been a great deal of technologic and practical advancements. This book lays the foundation of understanding these technologies as well as applying them making the book essential in both practice and research.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.