Offers important key aspects in the development and implementation of ML and DL approaches toward developing prediction tools and models and improving medical diagnosis Teaches how ML and DL algorithms are applied to a broad range of application areas, including chest x-ray, breast CAD, lung and chest, microscopy, and pathology and so forth Covers common research problems in medical image analysis and their challenges Focusses on aspects of deep learning and machine learning for combating COVID-19 Includes pertinent case studies

Focuses on the Internet of Healthcare Things and innovative solutions developed for use in the application of healthcare services Discusses artificial intelligence applications, experiments, core concepts, and cutting-edge themes Demonstrates new approaches to analysing medical data and identifying ailments using AI to improve overall quality of life Introduces fundamental concepts for designing the Internet of Healthcare Things solutions Includes pertinent case studies and applications