Artificial Intelligence and Image Processing Techniques of Monkeypox Disease Patterns

Edited By: Vijayalakshmi Kakulapati

£72.99

This book combines Artificial Intelligence with Image Processing for medical diagnostics. It covers machine learning for identifying infectious diseases like COVID-19 and monkeypox, and methods to automatically diagnose cardiac problems from medical images.

This book looks at how to combine Artificial Intelligence (AI) with Image Processing (IP) methods for use in medicine. It talks about important ideas in…

This book looks at how to combine Artificial Intelligence (AI) with Image Processing (IP) methods for use in medicine. It talks about important ideas in computer science, machine learning, and soft computing, and discusses new clinical and technological developments in infectious illnesses. The book talks a lot about the dangers of infectious illnesses, how they spread and how symptoms change. It also discusses the ways in which machine learning may help with image-based diagnostics, including finding COVID-19 and monkeypox. This book approaches ways to use image processing to automatically diagnose cardiac problems, including methods for looking at moving tissues. This book is for graduate and postgraduate students, but it is also useful for teaching and learning about machine vision and image processing. It is also useful for specialists who want to learn more about optimization and learning-based approaches.

Prof Vijayalakshmi Kakulapati is a professor in the Department of Information Technology at the Sreenidhi Institute of Science and Technology, India. She has a PhD in Computer Science and Engineering from
Jawaharlal Nehru Technological University, Hyderabad, India, and did postdoctoral research on AI-driven COVID-19 diagnosis at Srinivas University, India. She has edited 14 books, more than 50 book chapters, and more than 250 scholarly articles. She has worked in both academia and industry for more than 28 years. Prof Kakulapati has 10 patents and is a member of the Institute of Electrical and Electronics Engineers (IEEE), the Association for Computing Machinery (ACM), and other important professional groups. Her areas of study include Internet of Things, Big Data Analytics, Health Informatics, and Artificial Intelligence. She also works as a reviewer and on editorial boards for several international journals. She has also received more than 16 awards from various organisations.

Anvesha Katti, Vijayalakshmi Kakulapati, Deepa Parasar, B. Sri Sai Deepthi, Mahender Sheri, R. Vasuki, P. Ramesh Babu, Swetta Kukreja, Abinaya G, Kriti Kashyap, Neeru Malik, Shashwat Mahajan, Sai Srinivas M, Sree Keerthi Meghana B, Chinmay Mule, Niteesha Sharma, T. Ashalatha, Priyanka Vashisht