作者: Mohammed Sabbih Hamoud Al-Tamimi , Ghazali Sulong
DOI: 10.11113/JT.V69.3116
关键词:
摘要: Developing an efficient algorithm for automated Magnetic Resonance Imaging (MRI) segmentation to characterize tumor abnormalities in accurate and reproducible manner is ever demanding. This paper presents overview of the recent development challenges energy minimizing active contour model called snake MRI. successfully used detection object recognition, computer vision graphics as well biomedical image processing including X-ray, MRI Ultrasound images. Snakes being deformable well-defined curves domain can move under influence internal forces external are subsequently derived from data. We underscore a critical appraisal current status semi-automated methods MR images with important issues terminologies. Advantages disadvantages various salient features their relevancies also cited.