Abstract
This book combines technology and the medical domain. It covers 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 the technologists and the medical fraternity. Explainable AI in Healthcare: Unboxing Machine Learning for Biomedicine intends to be a premier reference for practitioners, researchers, and students at basic, intermediary levels and expert levels in computer science, electronics and communications, information technology, instrumentation and control, and electrical engineering.
Original language | English |
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Publisher | CRC Press |
Number of pages | 304 |
ISBN (Electronic) | 9781000906394 |
ISBN (Print) | 9781032367118 |
DOIs | |
Publication status | Published - 1 Jan 2023 |
Bibliographical note
Publisher Copyright:© 2024 selection and editorial matter, Mehul S Raval, Mohendra Roy, Tolga Kaya, Rupal Kapdi; individual chapters, the contributors.