Performance analysis of EM-MPM and K-means clustering in 3D ultrasound image segmentation

IEEE International Conference on Electro Information Technology

Volumn , Issue , 2012, Pages

  Yang, Huanyi ^a   Christopher, Lauren A ^a   Duric, Nebojsa ^b   West, Erik ^c   Bakic, Predrag ^d  

^a Indiana University Purdue University Indianapolis   (United States)

^b KARMANOS CANCER INSTITUTE   (United States)

^c UNIVERSITY OF MICHIGAN   (United States)

^d HOSPITAL OF THE UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

3D image segmentation; EM MPM; K means Clustering; Tomographic Ultrasound

Indexed keywords

3-D ULTRASOUND; 3D IMAGE SEGMENTATION; 3D MEDICAL IMAGE; 3D MODELS; 3D STRUCTURE; BREAST CANCER; BREAST DENSITY; BREAST IMAGES; COMPUTATIONAL PHANTOM; EM/MPM; EXPECTATION MAXIMIZATION; GROUND TRUTH DATA; HIGHLY DENSE; K-MEANS CLUSTERING; LOW CONTRAST; LOW DENSITY; MARGINALS; PERFORMANCE ANALYSIS; SEGMENTATION ACCURACY; SEGMENTATION ALGORITHMS; SEGMENTATION RESULTS; SIMULATED PHANTOM; TISSUE DENSITY; TISSUE DISTRIBUTIONS; TOMOGRAPHIC;

IMAGE SEGMENTATION; MEDICAL IMAGING; TISSUE; TOMOGRAPHY; ULTRASONICS;

THREE DIMENSIONAL;

EID: 84864197075     PISSN: 21540357     EISSN: 21540373     Source Type: Conference Proceeding    
DOI: 10.1109/EIT.2012.6220748     Document Type: Conference Paper

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