Abstract PR-04: Effect of breast cancer chemoprevention on a convolutional neural network-based mammographic evaluation using a mammographic dataset of women with atypical hyperplasia, lobular or ductal carcinoma in situ
Abstract:Background: Chemoprevention with anti-estrogens such as tamoxifen has been shown to lower mammographic density (MD), a strong predictor of breast cancer risk. However, measurement of MD is limited by variability in radiologists’ interpretations. We developed a novel, fully-automated convolutional neural network (CNN)-derived mammographic evaluation that is a more accurate predictor of breast cancer risk than MD. We evaluated whether chemoprevention with anti-estrogens is associated with a significant change in… Show more
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