Explainable Artificial Intelligence for Biomedical and Healthcare Applications
- Length: https://technocretetrading.com/hn0hfxi64g 282 pages
- Edition: source link 1
- Language: https://www.drcarolineedwards.com/2024/09/18/0o4ljp0zu7d English
- Publisher: CRC Press
- Publication Date: 2024-10-09
- ISBN-10: https://livingpraying.com/cbv03nv8z9 1032114894
- ISBN-13: https://www.fandangotrading.com/ln3gn8xc70 9781032114897
- Sales Rank: #0 (See Top 100 Books)
https://www.fandangotrading.com/f4q7m728dg 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.
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https://vbmotorworld.com/ufd335zeom- 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.
Buy Diazepam Online Cheap Uk 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.
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