Title :
Detection of Micro-calcification to Characterize Malignant Breast Lesion
Author :
Chatterjee, Subarna ; Ray, Ajoy Kumar ; Karim, Rezaul ; Biswas, Arindam
Author_Institution :
Dept. of IT, Bengal Eng. & Sci. Univ., Shibpur, India
Abstract :
Worldwide, breast cancer is the fifth most common cause of cancer death and is the most common cancer among women [14]. With advances in screening, diagnosis, and treatment, the death rate for breast cancer has declined by about 20% over the past decade. Micro-calcifications are calcium deposit, which can be identified as tiny areas that are slightly brighter than surrounding tissues [13]. In this paper, we propose a micro-calcification detection algorithm in two parts. One is segmentation of the mass or nodule and the other is detection of micro-calcification within the mass. MATLAB has been used for the simulation of this algorithm and the results obtained are presented in this paper.
Keywords :
biological organs; image segmentation; mammography; medical image processing; patient treatment; MATLAB; breast cancer; calcium deposit; death rate; malignant breast lesion characterization; mass segmentation; microcalcification detection algorithm; Breast cancer; Image segmentation; Lesions; Noise; Ultrasonic imaging; Breast; Medical diagnosis; Micro-calcification [ìC]; Sono-Mammogram; Ultrasound;
Conference_Titel :
Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2011 Third National Conference on
Conference_Location :
Hubli, Karnataka
Print_ISBN :
978-1-4577-2102-1
DOI :
10.1109/NCVPRIPG.2011.60