Explainable Artificial Intelligence for Biomedical and Healthcare Applications Explainable AI XAI for Engineering Applications | 1 Edition

Compare Textbook Prices for Explainable Artificial Intelligence for Biomedical and Healthcare Applications Explainable AI XAI for Engineering Applications 1 Edition ISBN 9781032114897 by Khamparia, Aditya,Gupta, Deepak
Authors: Khamparia, Aditya,Gupta, Deepak
ISBN:1032114894
ISBN-13: 9781032114897
List Price: $132.99 (up to 6% savings)
Prices shown are the lowest from
the top textbook retailers.

View all Prices by Retailer

Details about Explainable Artificial Intelligence for Biomedical and Healthcare Applications Explainable AI XAI for Engineering Applications:

This reference text helps us understand how the concepts of explainable artificial intelligence (XAI) are used in the medical and healthcare sectors. The text discusses medical robotic systems using XAI and physical devices having autonomous behaviors for medical operations. It explores the usage of XAI for analyzing different types of unique data sets for medical image analysis, medical image registration, medical data synthesis, and information discovery. It covers important topics including XAI for biometric security, genomics, and medical disease diagnosis. This book: • Provides an excellent foundation for the core concepts and principles of explainable AI in biomedical and healthcare applications. • Covers explainable AI for robotics and autonomous systems. • Discusses usage of explainable AI in medical image analysis, medical image registration, and medical data synthesis. • Examines biometrics security-assisted applications and their integration using explainable AI. The text will be useful for graduate students, professionals, and academic researchers in diverse areas such as electrical engineering, electronics and communication engineering, biomedical engineering, and computer science.

Need Family & General Practice tutors? Start your search below:
Need Family & General Practice course notes? Start your search below: