Explainable AI in Healthcare (eBook, ePUB)

Unboxing Machine Learning for Biomedicine
Redaktion: Raval, Mehul S; Kapdi, Rupal; Kaya, Tolga; Roy, Mohendra

• Format: ePub

Produktbeschreibung

This title covers computer vision and machine learning (ML) advances that facilitate automation in diagnostic, therapeutic, and preventative healthcare. The book shows the development of algorithms and architectures for healthcare.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 328
• Erscheinungstermin: 17. Juli 2023
• Englisch
• ISBN-13: 9781000906400
• Artikelnr.: 68011559

Autorenporträt

Mehul S Raval, Associate Dean - Experiential Learning and Professor, School of Engineering and Applied Science, Ahmedabad University, Ahmedabad, India Mohendra Roy, Assistant Professor, Information and Communication Technology Department, School of Technology, Pandit Deendayal Energy University, Gandhinagar, India Tolga Kaya, , Professor and Director of Engineering Programs, Sacred Heart University, Fairfield, CT, USA Rupal Kapdi, Assistant Professor, Computer Science and Engineering Department, Institute of Technology, Nirma University, Ahmedabad, India

Inhaltsangabe

1. Human-AI Relationship in Healthcare. 2. Deep Learning in Medical Image
Analysis: Recent Models and Explainability. 3. An Overview of Functional
Near-Infrared Spectroscopy and Explainable Artificial Intelligence in
fNIRS. 4. An Explainable Method for Image Registration with Applications in
Medical Imaging. 5. State-of-the-Art Deep Learning Method and Its
Explainability for Computerized Tomography Image Segmentation. 6.
Interpretability of Segmentation and Overall Survival for Brain Tumors. 7.
Identification of MR Image Biomarkers in Brain Tumor Patients Using Machine
Learning and Radiomics Features. 8. Explainable Artificial Intelligence in
Breast Cancer Identification. 9. Interpretability of Self-Supervised
Learning for Breast Cancer Image Analysis. 10. Predictive Analytics in
Hospital Readmission for Diabetes Risk Patients. 11. Continuous Blood
Glucose Monitoring Using Explainable AI Techniques. 12. Decision Support
System for Facial Emotion-Based Progression Detection of Parkinson's
Patients. 13. Interpretable Machine Learning in Athletics for Injury Risk
Prediction. 14. Federated Learning and Explainable AI in Healthcare.