• Kamal Kumar Sharma
• Manwinder Singh
• Shivaji Pawar

Automated breast density measurement is one of the interests growing area of research as it is having strong association with the risk of breast cancer. As per clinical BI-RADS assessment “heterogeneous” dense breast requires supplementary screening with ultrasound or sometimes MRI. Dense breast involves higher risk of masking cancer and also reduces sensitivity of mammograms. This will increase the false positive rate and cost of treatments. Although there are many methods available for automatic mammographic and volumetric breast density measurement but still there are issues of accuracy and reproducibility. Hence there is demand for developing new accurate and automatic breast density measurement technique which is strongly associated with risk of breast cancer and can be easily suitable in clinical screening. The proposed new algorithm is an attempt to increase the accuracy and reproducibility of automatic breast density measurement using digital mammograms which will produce new knowledge in discipline of radiology and computer science.

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"Design and Development of Algorithm for Mammographic Breast Density Classification Towards Breast Cancer Risk Prediction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.1466-1469, January 2019, Available :http://www.jetir.org/papers/JETIRDW06236.pdf

"Design and Development of Algorithm for Mammographic Breast Density Classification Towards Breast Cancer Risk Prediction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp1466-1469, January 2019, Available at : http://www.jetir.org/papers/JETIRDW06236.pdf