Title :
New performance metric for quantitative evaluation of enhancement in mammograms
Author :
Pandey, Ashutosh ; Singh, Sushil
Author_Institution :
Dept. of Electron. & Commun. Eng., Nat. Inst. of Tech. Teacher Training & Res., Chandigarh, India
Abstract :
The second leading cause of cancer related death in women is breast cancer, mostly diagnosed in the age group of 40-60. Breast cancer is the formation of lump in the breast, this the initial stage which is further followed by abnormal cell division and growth of malignant tumour. Mammography is the most powerful detector of breast cancer that can easily diagnose masses and micro-calcifications. Early detection of masses with minimal false detection is distant reality with mammographic images due to poor contrast (i.e. superimposition of salt tissues of the breast with the mass) and presence of noise. For this purpose different enhancement techniques are applied, but any single technique is not best for all images. In this paper, a performance metric is developed that is applied on each enhancement technique to quantitatively evaluate the degree of enhancement applied on a mammogram. This also evaluates that, which technique is best suited for any particular mammogram.
Keywords :
cancer; cellular biophysics; gynaecology; image enhancement; mammography; medical image processing; tumours; abnormal cell division; breast cancer detector; enhancement techniques; lump formation; malignant tumour growth; mammogram enhancement; mammographic images; mammography; masses; microcalcifications; minimal false detection; noise presence; performance metric; quantitative evaluation; salt tissue superimposition; Breast; Cancer; Equations; Image edge detection; Measurement; PSNR; Standards; ASNR; CC; CD; CEM; CII; DSM; MLO; PSNR; ROI; TBCe•; TBCs;
Conference_Titel :
Information Management in the Knowledge Economy (IMKE), 2013 2nd International Conference on
Conference_Location :
Chandigarh