An improved method of breast MRI segmentation with simplified K-means clustered images
Donghoon Kang, Sung Y. Shin, Chang Oan Sung, Jung Y. Kim, Jeong‐Ki Pack, Hyung Do Choi · 2011
The segmentation of breast Magnetic Resonance Imaging (MRI) has been a long term challenge due to the fuzzy boundaries among objects, small spots, and irregular object shapes in breast MRI. Even though intensity-based clustering algorithms such as K-means clustering and Fuzzy C-means clustering have been used widely for basic image segmentation, they resulted in complicated patterns for computer aided breast MRI diagnosis.