New deep learning challenge to estimate breast density from mammograms

deep

A new deep learning challenge has been launched by the UEF Cancer AI research team at the University of Eastern Finland, led by senior researcher Hamid Behravan, PhD, and funded by Sitra, the Finnish Innovation Fund. The challenge aims to develop an architecture capable of automatically estimating the breast percentage density from mammograms. High breast […]

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Mammogram measures of breast cancer risk

Breast cancer risk

New mammogram measures of breast cancer risk could revolutionise screening: World-first techniques for predicting breast cancer risk from mammograms that were developed in Melbourne could revolutionise breast screening by allowing it to be tailored to women at minimal extra cost. Published in the International Journal of Cancer, the University of Melbourne-led study found two new mammogram-based […]

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