Explainable AI in Healthcare
unboxing machine learning for biomedicine
$106.21
- Paperback
304 pages
- Release Date
13 April 2025
Summary
Unboxing AI: Explainable AI in Healthcare
This book combines technology and the medical domain, covering advances in computer vision (CV) and machine learning (ML) that facilitate automation in diagnostics and therapeutic and preventive health care. The special focus on eXplainable Artificial Intelligence (XAI) uncovers the black box of ML and bridges the semantic gap between technologists and the medical fraternity. Explainable AI in Healthcare: Unboxing Machine Learning fo…
Book Details
| ISBN-13: | 9781032367125 |
|---|---|
| ISBN-10: | 1032367121 |
| Series: | Analytics and AI for Healthcare |
| Author: | Mehul S. Raval, Mohendra Roy, Tolga Kaya, Rupal Kapdi |
| Publisher: | Taylor & Francis Ltd |
| Imprint: | Chapman & Hall/CRC |
| Format: | Paperback |
| Number of Pages: | 304 |
| Release Date: | 13 April 2025 |
| Weight: | 610g |
| Dimensions: | 234mm x 156mm |
About The Author
Mehul S. Raval
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
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