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Artificial Intelligence and Deep Learning in Pathology

Editat de Stanley Cohen
en Limba Engleză Paperback – iun 2020
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.
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Specificații

ISBN-13: 9780323675383
ISBN-10: 0323675387
Pagini: 288
Dimensiuni: 191 x 235 mm
Editura: Elsevier

Cuprins

  1. The evolution of machine learning: past, present, and futureStanley Cohen
  2. The basics of machine learning: strategies and techniquesStanley Cohen
  3. Overview of advanced neural network architecturesBenjamin R. Mitchell
  4. Complexity in the use of artificial intelligence in anatomic pathologyStanley Cohen
  5. Dealing with data: strategies of preprocessing dataStanley Cohen
  6. Digital pathology as a platform for primary diagnosis and augmentation via deep learning.Anil V. Parwani
  7. Applications of artificial intelligence for image enhancement in pathologyTanishq Abraham, Austin Todd, Daniel A. Orringer and Richard Levenson
  8. Precision medicine in digital pathology via image analysis and machine learningPeter D. Caie, Neofytos Dimitriou and Ognjen Arandjelovi'c
  9. Artificial intelligence methods for predictive image-based grading of human cancersGerardo Fernandez, Abishek Sainath Madduri, Bahram Marami, Marcel Prastawa, Richard Scott, Jack Zeineh and Michael Donovan
  10. Artificial intelligence and the interplay between tumor and immunityJoel Haskin Saltz and Rajarsi Gupta
  11. Overview of the role of artificial intelligence in pathology: the computer as a pathology digital assistant
John E. Tomaszewski