Artificial Intelligence and Deep Learning in Pathology
Editat de Stanley Cohenen Limba Engleză Paperback – iun 2020
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Specificații
Cuprins
- The evolution of machine learning: past, present, and futureStanley Cohen
- The basics of machine learning: strategies and techniquesStanley Cohen
- Overview of advanced neural network architecturesBenjamin R. Mitchell
- Complexity in the use of artificial intelligence in anatomic pathologyStanley Cohen
- Dealing with data: strategies of preprocessing dataStanley Cohen
- Digital pathology as a platform for primary diagnosis and augmentation via deep learning.Anil V. Parwani
- Applications of artificial intelligence for image enhancement in pathologyTanishq Abraham, Austin Todd, Daniel A. Orringer and Richard Levenson
- Precision medicine in digital pathology via image analysis and machine learningPeter D. Caie, Neofytos Dimitriou and Ognjen Arandjelovi'c
- 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
- Artificial intelligence and the interplay between tumor and immunityJoel Haskin Saltz and Rajarsi Gupta
- Overview of the role of artificial intelligence in pathology: the computer as a pathology digital assistant