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Artificial Intelligence and Deep Learning in Pathology

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  • 288 pages
  • 11 hours of reading

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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 <i>Artificial Intelligence and Deep Learning in Pathology</i>, 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.

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Artificial Intelligence and Deep Learning in Pathology, Stanley Cohen

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Released
2020
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Title
Artificial Intelligence and Deep Learning in Pathology
Language
English
Publisher
Elsevier
Released
2020
Format
Paperback
Pages
288
ISBN10
0323675387
ISBN13
9780323675383
Series
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 <i>Artificial Intelligence and Deep Learning in Pathology</i>, 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.