Artificial life for segmentation of fusion ultrasound images of breast abnormalities
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software
Reference56 articles.
1. Automatic breast ultrasound image segmentation: a survey;Xian;Pattern Recognit.,2018
2. A novel active contour model guided by global and local signed energy-based pressure force;Liu;IEEE Access,2020
3. Adaptive local-fitting-based active contour model for medical image segmentation;Ma;Signal Process.,2019
4. Adaptive diffusion flow active contours for image segmentation;Wu;Comput. Vis. Image Underst.,2013
5. Fronts propagating with curvature-dependent speed: algorithms based on Hamilton–Jacobi formulations;Osher;J. Comput. Phys.,1988
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