Breast cancer is affecting a large number of women today. According to observations one woman out of every eight women are likely to suffer from breast cancer. Early detection of breast cancer can help in controlling the situation. A recent finding has made it simpler to detect breast cancer.
The research has developed a new artificial tool which can help in predicting a woman's future risk of breast cancer. For the study, 90,000 full resolution screening mammograms of almost 40,000 women were examined deeply. The testing model was used to study these mammograms to find validate results.
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During the study, the researchers used three different approaches with different risk factors for comparison. The first approach involved traditional risk factors, whereas the second approach used deep learning of the mammograms. The third approach involved both mammograms and traditional risk factors. The new methods gave significantly better results than the current clinical standards.
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"There's much more information in a mammogram than just the four categories of breast density, "said study lead author Adam Yala from the Massachusetts Institute of Technology (MIT) in the US.
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"By using the deep learning model, we learn subtle cues that are indicative of future cancer," Yala added.
"Unlike traditional models, our deep learning model performs equally well across diverse races, ages and family histories," said Regina Barzilay, Professor at MIT.
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