TY  - JOUR
T1  - Gradient Vector Flow Analysis for Multimodality Medical Images
AU - Mohan, M. Jegan AU - Roomi, S. Mohammed Mansoor 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 24
SP  - 5046
EP  - 5050
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.5046.5050
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.5046.5050
KW  - Active contour model
KW  -gradient vector flow
KW  -image segmentation
KW  -edge detection
KW  -image classification
AB  - 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.
ER  -