Title :
Detection of mammographic masses using a refined mean shift approach
Author :
Sultana, Alina Elena ; Ciuc, Mihai
Abstract :
Mammography is one of the available methods for early detection of abnormalities, which is related to the human breast cancer. Image segmentation plays an important role in breast cancer detection. This paper presents a refined mean shift segmentation approach using spatial information characteristics as well, in order to achieve some accurate detection results.
Keywords :
X-ray imaging; cancer; image segmentation; mammography; medical image processing; breast cancer detection; early abnormality detection; human breast cancer; image segmentation; mammographic mass detection; refined mean shift approach; refined mean shift segmentation approach; spatial information characteristics; Algorithm design and analysis; Breast cancer; Density functional theory; Image segmentation; Kernel; Tracking; Tumors; CAD; breast cancer; mammography; mean shift; spatial information;
Conference_Titel :
E-Health and Bioengineering Conference (EHB), 2011
Conference_Location :
Iasi
Print_ISBN :
978-1-4577-0292-1
