Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Mammographic density is a strong risk factor for breast cancer. Volumetric breast density can be estimated from a digital mammogram by modelling the imaging process; this provides a more accurate assessment than subjective and 2D area-based methods. Hover, reliable density estimation in the uncompressed peripheral breast region and determination of compression paddle tilt are still open and challenging problems that affect the accuracy of measurement. Here  present a complete system that is able to perform thickness correction for both the compressed and uncompressed breast regions. The system was evaluated on a dataset of 208 mammograms, and compared with results from commercial software VolparaTM version 1.5. The proposed method yielded Pearson correlation coefficients PCC of volumetric breast density VBD beten left and right breasts of 0.88 CC view and 0.91 MLO view. The PCC beten VolparaTM VBD and our method is 0.93.
['Xin Chen', 'Emmanouil Moschidis', 'Christopher J. Taylor', 'Susan M. Astley']
I am writing a research paper on a idea Improving Mammographic Density Estimation in the Breast Periphery
[{"from": "human", "value": "I am writing a research paper on a idea Improving Mammographic Density Estimation in the Breast Periphery"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Mammographic density is a strong risk factor for breast cancer. Volumetric breast density can be estimated from a digital mammogram by modelling the imaging process; this provides a more accurate assessment than subjective and 2D area-based methods. Hover, reliable density estimation in the uncompressed peripheral breast region and determination of compression paddle tilt are still open and challenging problems that affect the accuracy of measurement. Here  present a complete system that is able to perform thickness correction for both the compressed and uncompressed breast regions. The system was evaluated on a dataset of 208 mammograms, and compared with results from commercial software VolparaTM version 1.5. The proposed method yielded Pearson correlation coefficients PCC of volumetric breast density VBD beten left and right breasts of 0.88 CC view and 0.91 MLO view. The PCC beten VolparaTM VBD and our method is 0.93."}]