M. Jegan  Mohan, S. Mohammed Mansoor  Roomi, 
    Gradient Vector Flow Analysis for Multimodality Medical Images,
    Asian Journal of Information Technology,
    Volume 15,Issue 24,
    2016,
    Pages 5046-5050,
    ISSN 1682-3915,
    ajit.2016.5046.5050,
    (https://makhillpublications.co/view-article.php?doi=ajit.2016.5046.5050)
    Abstract: Medical image analysis is an emerging technique for diagnosis, surgical and treatment planning. These image computation methods lead the physician to isolate the unwanted tissues of the human organs. Every one of the patients are expecting without cutting, without bleeding and day care operations. So these scanned images are analyzed before preceding the treatment process. In this study, the image segmentation and classification are done for various medical images and Gradient Vector Flow based Multi-classifier (GVFM) has proposed and implemented by Matlab coding. The medical image analysis parameters sensitivity, specificity and accuracy are calculated for multimodality medical images.
    Keywords: Active contour model;gradient vector flow;image segmentation;edge detection;image classification