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Explainable Artificial Intelligence for Biomedical and Healthcare Applications

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Explainable Artificial Intelligence for Biomedical and Healthcare Applications
Περιγραφή: 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.
Συγγραφείς: Aditya Khamparia, Deepak Gupta
Resource Type: eBook.
Θέματα: Artificial intelligence--Medical applications, Biomedical engineering--Data processing
Categories: COMPUTERS / Artificial Intelligence / General, TECHNOLOGY & ENGINEERING / Biomedical, MEDICAL / Informatics
Βάση Δεδομένων: eBook Index
FullText Text:
  Availability: 0
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PubType: eBook
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  Data: 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.
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      – Code: 610.285
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Artificial intelligence--Medical applications
        Type: general
      – SubjectFull: Biomedical engineering--Data processing
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            – D: 01
              M: 01
              Type: published
              Y: 2025
            – D: 09
              M: 10
              Type: profile
              Y: 2024
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              Value: 9781040126370
            – Type: isbn-electronic
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            – TitleFull: Explainable Artificial Intelligence for Biomedical and Healthcare Applications
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