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Deep-LIBRA: Artificial intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment.

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Parenchymal texture measures weighted by breast anatomy: preliminary optimization in a case-control study., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97850M. SPIE, (2016)Volumetric versus area-based density assessment: comparisons using automated quantitative measurements from a large screening cohort., , , , and . Medical Imaging: Image Processing, volume 10574 of SPIE Proceedings, page 105742H. SPIE, (2018)Comparison of breast percent density estimation from raw versus processed digital mammograms., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7963 of SPIE Proceedings, page 79631X. SPIE, (2011)Deep-LIBRA: Artificial intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment., , , , , , , , , and . CoRR, (2020)Mammographic phenotypes of breast cancer risk driven by breast anatomy., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 1013417. SPIE, (2017)Application of computer-extracted breast tissue texture features in predicting false-positive recalls from screening mammography., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9035 of SPIE Proceedings, page 90351X. SPIE, (2014)Breast Tissue Density Quantification via Digitized Mammograms., , , and . IEEE Trans. Med. Imaging, 20 (8): 792-803 (2001)Associations between mammographic phenotypes and histopathologic features in ductal carcinoma in situ., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109502K. SPIE, (2019)MammoDL: Mammographic Breast Density Estimation using Federated Learning., , , , , , , , , and 3 other author(s). CoRR, (2022)A Comparative Study of the Inter-reader Variability of Breast Percent Density Estimation in Digital Mammography: Potential Effect of Reader's Training and Clinical Experience., , , , , , , and . Digital Mammography / IWDM, volume 6136 of Lecture Notes in Computer Science, page 114-120. Springer, (2010)