Adaptive k-means clustering algorithm for MR breast image segmentation - Moftah, Hossam M.; Azar, Ahmad Taher; Al-Shammari, Eiman Tamah; Ghali, Neveen I.; Hassanien, Aboul Ella; Shoman, Mahmoud (Neural computing & applications, 2014)
Keywords: Applied sciences; Artificial Intelligence; Biological and medical sciences; Computational Biology/Bioinformatics; Computational Science and Engineering; Computer Science; Computer science; control theory; systems; Data Mining and Knowledge Discovery; Data processing. List processing. Character string processing; Exact sciences and technology; Genital system. Mammary gland; Gynecology. Andrology. Obstetrics; Image Processing and Computer Vision; Investigative techniques, diagnostic techniques (general aspects); Mammary gland diseases; Medical sciences; Memory organisation. Data processing; Original Article; Pattern recognition. Digital image processing. Computational geometry; Probability and Statistics in Computer Science; Radiodiagnosis. Nmr imagery. Nmr spectrometry; Software; Tumors; Adaptive segmentation; Image segmentation; Magnetic resonance (MR) image; Breast cancer; K-means clustering; Cluster analysis; Adaptive algorithm; Methodology; Image processing; Cluster; K means algorithm; Data mining; Nuclear magnetic resonance imaging; Adaptive method; Optimization; Experimental result; Efficiency; Classification; Medical imagery