Artificial Intelligence and Deep Learning in Pathology 1st Edition (2020) (PDF) by Stanley Cohen

Description

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, 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.

Focuses heavily on applications in medicine, especially pathology, making unfamiliar material accessible and avoiding complex mathematics whenever possible.

User’s Reviews

“We do, however, need to understand AI and adapt to it. This book is a great introduction, as well as a stimulating read. It is recommended for those interested in AI, software or the future of pathology.” -Dr Niall O’Neill (Bulletin of the Royal College of Pathologists, January 2021)

The term Artificial intelligence (AI) was coined in 1956 by John McCarthy at a workshop at Dartmouth College. AI and deep learning are the most rapidly evolving fields in our living, outsmarting Moore’s law! To name a few, they affect our lives in the industry, transportation, communication, tourism, agriculture, education, retails, national security, and health care. This timely book edited by Stanley Cohen is the most current introduction to the field. Dr. Cohen has assembled a team of experts, and they have contributed to their respective areas of expertise. This book covers the specialty of diagnostic surgical pathology, chapters 1-5 provide a broad overview of the basic concepts and are techniques of AI that will be useful to anyone in biomedicine. The first two chapters by Dr. Cohen contain the fundamentals punctuated by his wit and wisdom (The machine will provide that a tomato is a fruit. The human will provide the wisdom that it does not belong in the fruit salad. Together they will determine that ketchup is not a smoothie). Additional write-ups expect the reader, besides medicine, to have some basic knowledge of high school and college math, but not a formal programming language. Each chapter ends with a useful summary/conclusion of the contents. I found the well-written chapter “Digital pathology as a platform for primary diagnosis and augmentation via deep learning” by Anil Parwani appropriate and comprehensive. The last chapter # 11 entitled “Overview of the role of artificial intelligence in pathology: the computer as a pathology digital assistant” by John Tomaszewski is the timeliest with cautious optimism. This in summary is a well-documented readable book on the field specifically applicable to the diagnostic anatomic pathology.

Keywords

Free Download Artificial Intelligence and Deep Learning in Pathology 1st Edition in PDF format
Artificial Intelligence and Deep Learning in Pathology 1st Edition PDF Free Download
Download Artificial Intelligence and Deep Learning in Pathology 1st Edition 2020 PDF Free
Artificial Intelligence and Deep Learning in Pathology 1st Edition 2020 PDF Free Download
Download Artificial Intelligence and Deep Learning in Pathology 1st Edition PDF
Free Download Ebook Artificial Intelligence and Deep Learning in Pathology 1st Edition