Chapter 14: An automatic level set segmentation of breast tumor from mammogram images using optimized fuzzy c-means clustering
Kama Ramudu, S.P. Girija, and Ganta Raghotham Reddy Department of Electronics and Communication Engineering, Kakatiya Institute of Technology and Science, Warangal, Telangana, India
Abstract
In the medical field, segmentation plays a vital role in which the required area can be easily extracted via automatic methods. It can split the entire image into sections based on the requirement like body tissues can be segmented for tumor detection and mass detection. There are many applications, which can be made out of this segmentation method. One among them is breast tumor segmentation in which the accurate shape of the tumor ...
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