
AI for Radiology Paperback / softback
by Oge (Florida Atlantic University, Boca Raton, USA) Marques
Part of the AI for Everything series
Paperback / softback
Description
Offers an up-to-date, broad, and technical overview of the landscape of AI in radiology. Provides concrete examples of how the radiology community has taken quick and effective action to embrace the new era of AI. Covers the fundamental concepts and terminology associated with machine learning and deep learning, the predominant paradigms of contemporary AI. Discusses the essential role of data in AI solutions for radiology and associated technical challenges and ethical considerations.
Information
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Pre-Order
- Format:Paperback / softback
- Pages:214 pages, 1 Tables, black and white; 2 Line drawings, color; 4 Line drawings, black and white; 2 Il
- Publisher:Taylor & Francis Ltd
- Publication Date:12/02/2024
- Category:
- ISBN:9780367627256
Information
-
Pre-Order
- Format:Paperback / softback
- Pages:214 pages, 1 Tables, black and white; 2 Line drawings, color; 4 Line drawings, black and white; 2 Il
- Publisher:Taylor & Francis Ltd
- Publication Date:12/02/2024
- Category:
- ISBN:9780367627256