Artificial Intelligence Applications for Health Care
About this ebook
Key Features
- Covers computational Intelligence techniques like artificial neural networks, deep neural networks, and optimization algorithms for Healthcare systems
- Provides easy understanding for concepts like signal and image filtering techniques
- Includes discussion over data preprocessing and classification problems
- Details studies with medical signal (ECG, EEG, EMG) and image (X-ray, FMRI, CT) datasets
- Describes evolution parameters such as accuracy, precision, and recall etc.
This book is aimed at researchers and graduate students in medical signal and image processing, machine and deep learning, and healthcare technologies.
About the author
Mitul K. Ahirwal is currently working as an Assistant Professor in the Department of Computer Science and Engineering at, Maulana Azad National Institute of Technology Bhopal, India. His research area is biomedical signal processing, swarm optimization, Brain Computer Interface and Healthcare system. He has been involved as a reviewer with various reputed journals.
Narendra D. Londhe is currently working with National Institute of Technology Raipur as an Associate Professor in Department of Electrical Engineering. His area of research includes Image and signal processing, soft computing, Biometrics, Ultrasound Imaging, IVUS imaging, Brain computer interface, Pain assessment and Psoriasis severity detection.
Anil Kumar joined as an Assistant Professor in the Electronic & Communication Engineering Department, Indian Institute of Information Technology Design and Manufacturing, Jabalpur, India since 2009 to July 2016. His academic and research interest is design of Digital Filters & Multirate Filter Bank, Multirate Signal Processing, Biomedical Signal Processing, Image Processing, and Speech Processing.
