An Interactive Method Based on the Live Wire for Segmentation of the Breast in Mammography Images

Abstract

In order to improve accuracy of computer-aided diagnosis of breast lumps, the authors introduce an improved interactive segmentation method based on Live Wire. This paper presents the Gabor filters and FCM clustering algorithm is introduced to the Live Wire cost function definition. According to the image FCM analysis for image edge enhancement, we eliminate the interference of weak edge and access external features clear segmentation results of breast lumps through improving Live Wire on two cases of breast segmentation data. Compared with the traditional method of image segmentation, experimental results show that the method achieves more accurate segmentation of breast lumps and provides more accurate objective basis on quantitative and qualitative analysis of breast lumps.

Leveraging MRI characterization of longitudinal tears of the deep digital flexor tendon in horses using machine learning

“…The Livewire algorithm is an interactive algorithm for achieving optimal edge segmentation and is available in the publicly downloadable version of the Medical Image Processing, Analysis and Visualization software (MIPAV), Version 7.0.1 (https://mipav.cit.nih.gov/clickwrap.php). The algorithm generates an acceptable cost function to construct the ideal path between the starting and finishing points specified by the user 22 …”

“…The algorithm generates an acceptable cost function to construct the ideal path between the starting and finishing points specified by the user. 22 Tendon boundaries were determined by finding and tracing the boundary where the greatest contrast appeared between the hypointense tendon and hyperintense surrounding tissue. Tracing started at the 12 o'clock position and proceeded counterclockwise.…”

MRI radiogenomics for intelligent diagnosis of breast tumors and accurate prediction of neoadjuvant chemotherapy responses-a review

“…Commonly used segmentation algorithms include a region growth method, a level set method [43], an image cluster/reconstruction method [44], mophological algorithms, active contour (snake) algorithms and semi-automatic segmentation methods (live-wires), etc. [45].…”

Semi-automatic segmentation of coronary vessels based on improved livewire algorithm

“…Livewire segmentation is a manual tool widely used to extract object boundaries reproducibly and accurately [7][8][9][10] . It requires that the user click the mouse near the boundary of the object and then move the mouse from the specified seed point, and the algorithm will give an optimal path from the seed point to the current mouse position around the boundary of the object.…”