Title :
Micro-calcification detection to characterize malignant breast lesion
Author :
Chatterjee, Subarna ; Ray, Ajoy Kumar ; Karim, Rezaul ; Biswas, Arindam
Author_Institution :
Dept. of IT, Bengal Eng. & Sci. Univ., Howrah, India
Abstract :
Breast cancer is the fifth most common cause of cancer death and 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 tissue [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; biomedical ultrasonics; cancer; gynaecology; image segmentation; medical image processing; MATLAB; breast cancer; calcium deposit; death rate; malignant breast lesion; mass segmentation; microcalcification detection algorithm; nodule segmentation; Breast cancer; Image segmentation; Lesions; Noise; Ultrasonic imaging; Breast; Medical diagnosis; Micro-calcification[MC]; Sono-Mammogram; Ultrasound;
Conference_Titel :
India Conference (INDICON), 2011 Annual IEEE
Conference_Location :
Hyderabad
Print_ISBN :
978-1-4577-1110-7
DOI :
10.1109/INDCON.2011.6139333