Artificial Intelligence and Deep Learning in Pathology

作者
Edited by Stanley Cohen, MD
ISBN
9780323675383
出版日期
02-06-2020
Paperback
NT$3,400 NT$3,060
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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 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.

附加資訊
ISBN 9780323675383
作者資訊 Edited by Stanley Cohen, MD, Emeritus Founding Director, Center for Biophysical Pathology, Rutgers-NJMS; Adjunct Professor of Pathology, Northwestern University Feinberg School of Medicine, Chicago, Illinois; Perelman School of Medicine at the University of Pennsylvania, Sidney Kimmell Medical College - Thomas Jefferson University, Philadelphia, Pennsylvania
Table of Content
  1. The evolution of machine learning: past, present, and future
  2. Stanley Cohen

     

  3. The basics of machine learning: strategies and techniques
  4. Stanley Cohen

     

  5. Overview of advanced neural network architectures
  6. Benjamin R. Mitchell

     

  7. Complexity in the use of artificial intelligence in anatomic pathology
  8. Stanley Cohen

     

  9. Dealing with data: strategies of preprocessing data
  10. Stanley Cohen

     

  11. Digital pathology as a platform for primary diagnosis and augmentation via deep learning.
  12. Anil V. Parwani

     

  13. Applications of artificial intelligence for image enhancement in pathology
  14. Tanishq Abraham, Austin Todd, Daniel A. Orringer and Richard Levenson

     

  15. Precision medicine in digital pathology via image analysis and machine learning
  16. Peter D. Caie, Neofytos Dimitriou and Ognjen Arandjelovi'c

     

  17. Artificial intelligence methods for predictive image-based grading of human cancers
  18. Gerardo Fernandez, Abishek Sainath Madduri, Bahram Marami, Marcel Prastawa, Richard Scott, Jack Zeineh and Michael Donovan

     

  19. Artificial intelligence and the interplay between tumor and immunity
  20. Joel Haskin Saltz and Rajarsi Gupta

     

  21. Overview of the role of artificial intelligence in pathology: the computer as a pathology digital assistant

John E. Tomaszewski

出版日期 02-06-2020
Pages 270
Trim 235 x 191 (7 1/2 x 9 1/4)
現貨 In Stock
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