Medical Image Segmentation by Active Contour Improvement
Abdelaziz Essadike · American Journal of Software Engineering and Applications · 2017
This paper introduces a new medical image segmentation approach based on active contour improvement. The boundaries in brain images are detected using an original technique of active contour improved by a Region of Interest (ROI) extraction. We compare the results of the proposed model to Chane-Vese active contour model and Caselles’s et al. Geodesic active contour model. Experimental results of brain boundary localization on a national center of Oncology’s database demonstrate the promising performance of this method.