Description
In the medical field, there is a constant need to improve professionals’ abilities to provide prompt and accurate diagnoses. The use of image and pattern recognizing software may provide support to medical professionals and enhance their abilities to properly identify medical issues.
Medical Image Processing for Improved Clinical Diagnosis provides emerging research exploring the theoretical and practical aspects of computer-based imaging and applications within healthcare and medicine. Featuring coverage on a broad range of topics such as biomedical imaging, pattern recognition, and medical diagnosis, this book is ideally designed for medical practitioners, students, researchers, and others in the medical and engineering fields seeking current research on the use of images to enhance the accuracy of medical prognosis.
Author's/Editor's Biography
A. Swarnambiga (Ed.)
Ayyachamy Swarnambiga earned her Ph.D from Anna University Chennai during the year 2014, she is currently pursuing her Post doctorate in Department of Engineering Design, Indian Institute of Technology Madras, Chennai. She is serving as the editor for journal of Health and Medical Informatics, United States of America, Editorial board member in Journal of Health and Medical Economics and Editorial board reviewer member for International Journal of Rough Sets and Data Analysis (IJRSDA). She has presented seminars in various colleges. She has given one expert review in journal of Health and Medical Informatics in 2015. She has published 30 articles. Among that 6 International and 1 National journal and 15 International and 8 National conferences. She has also published an edited chapter in a book entitled ‘Classification & Clustering in Biomedical Engineering’ in IGI Global during the year 2016. She is also serving as reviewer in journals such as IET image processing. Her research interest includes Medical imaging, Machine vision analysis, Image processing, Splines and Wavelet analysis in imaging, Computer aided diagnosis, Biomedical data analysis and Bioinformatics.