Revised: 19 August 2021
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We now list books paid for by advertisers, of interest to pathologists, and add new titles regularly. Recommended books by our Editorial Board
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1st ed, 288 pages, $79, Elsevier (2020)
Posted June 11, 2021
Recent advances in computational algorithms, along with the advent of whole slide imaging as a platform for embedding artificial intelligence (AI), are transforming pattern recognition and image interpretation for diagnosis and prognosis. Yet most pathologists have just a passing knowledge of data mining, machine learning and AI, and little exposure to the vast potential of these powerful new tools for medicine in general and pathology in particular. In Artificial Intelligence and Deep Learning in Pathology, with a team of experts, Dr. Stanley Cohen covers the nuts and bolts of all aspects of machine learning, up to and including AI, bringing familiarity and understanding to pathologists at all levels of experience.
Artificial Intelligence and Machine Learning for Digital Pathology: State-of-the-Art and Future Challenges
Andreas Holzinger, Randy Goebel, Michael Mengel, Heimo Müller
1st ed, 351 pages, $51, Springer (2020)
Posted June 11, 2021
Data driven Artificial Intelligence (AI) and Machine Learning (ML) in digital pathology, radiology and dermatology is very promising. In specific cases, for example, Deep Learning (DL), even exceeding human performance. However, in the context of medicine it is important for a human expert to verify the outcome. Consequently, there is a need for transparency and retraceability of state of the art solutions to make them usable for ethical responsible medical decision support.
Liron Pantanowitz, Anil V. Parwani, MD, PhD
304 pages, $199, ASCP (2016)
Posted January 23, 2017
New Release—the Definitive, Complete Reference of Digital Pathology. An extraordinarily comprehensive and complete book for individuals with anything from minimal knowledge to deep, accomplished experience in Digital Pathology. Easy to read and plainly written, Digital Pathology examines the history and technological evolution of Digital Pathology, from the birth of scanning technology and telepathology to three-dimensional imaging on large multi-touch displays and computer aided diagnosis. Digital pathology is truly a game changer, and this book is a crucial tool for anyone wishing to know more.
Keith Kaplan, Luigi K.F. Rao
132 pages, $109 list, Springer (2015)
Posted December 31, 2014
Digital Pathology: Historical Perspectives, Current Concepts & Future Applications provides the authoritative text in the digital pathology domain by combining the established expertise of leaders in this diverse arena with practical applications of this transformative platform while harnessing a content rich, interactive format. In detailing a cohesive narrative from a broad, global perspective the lessons learned from the past, the obstacles to digital pathology adoption that have been overcome and the challenges that remain for full realization of the potential that computational analysis affords, this text provides readers with the latest in where the field is heading as it seeks to unlock the potential of digital pathology by leveraging cutting edge technologies and innovative tools.
$99 list, Elsevier (2016)
Posted March 4, 2016
This issue of the Clinics in Laboratory Medicine, edited by Dr. Anil Parwani, is a special issue is devoted to topics in Pathology Informatics. Topics include but are not limited to: Basics of Information Systems (Hardware, Software); Networks, Interfaces and Communications; Databases; Data Representation, Coding and Communication Standards; Laboratory Information Systems; Enhancing and Customizing Laboratory Information Systems; Laboratory Management and Operations; Specialized Laboratory Information Systems; Middleware and Laboratory Automation; Bar Coding and Tracking; Molecular Pathology Informatics; Pathology Informatics and Project Management; Digital Imaging; Telepathology; Healthcare Information Systems; Data Security and Reliability; Role of Informatics in Patient Safety and Quality Assurance; Role of Pathology Informatics in IT Leadership; Selection and Implementation of New Information Systems; Biomedical Informatics and Research Informatics; Training in Pathology Informatics; and more.
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