Title :
Detection of pectoral muscle in mammograms using a mean-shift segmentation approach
Author :
Sultana, Alina ; Ciuc, Mihai ; Strungaru, Rodica
Author_Institution :
Image Process. & Anal. Lab., Univ. Politeh. of Bucharest, Bucharest, Romania
Abstract :
Detection of pectoral muscle in mammograms is an important pre-processing segmentation step. The pectoral muscle is one of the few anatomical features that appears clearly and reliably in medio-lateral oblique view mammograms. This new method overcomes the limitation of the straight-line representation considered in our initial investigation using the Hough transform.
Keywords :
Hough transforms; diagnostic radiography; image segmentation; mammography; medical image processing; muscle; Hough transform; mammograms; mean-shift segmentation; mediolateral oblique; pectoral muscle detection; straight-line representation; Breast cancer; Breast neoplasms; Breast tissue; High-resolution imaging; Image edge detection; Image processing; Image segmentation; Mammography; Muscles; Spatial resolution; Mean-Shift segmentation; borders breast detection; mean value indexes; pectoral muscle suppression; position indexes;
Conference_Titel :
Communications (COMM), 2010 8th International Conference on
Conference_Location :
Bucharest
Print_ISBN :
978-1-4244-6360-2
DOI :
10.1109/ICCOMM.2010.5509003