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Mammographic Density Over Time in Women With and Without Breast Cancer.

, , , , , , , , , , , , , and . Digital Mammography / IWDM, volume 9699 of Lecture Notes in Computer Science, page 291-298. Springer, (2016)

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Reader performance in visual assessment of breast density using visual analogue scales: are some readers more predictive of breast cancer?, , , , , , , , , and 4 other author(s). Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 10577 of SPIE Proceedings, page 105770W. SPIE, (2018)Using a convolutional neural network to predict readers' estimates of mammographic density for breast cancer risk assessment., , , , , , , , and . IWBI, volume 10718 of SPIE Proceedings, page 107180D. SPIE, (2018)Breast density distribution among the Saudi screening population and correlation between radiologist visual assessment and two automated methods., , , , , , , , , and 5 other author(s). Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 12035 of SPIE Proceedings, SPIE, (2022)Initial experience with computer aided detection for microcalcification in digital breast tomosynthesis., , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9414 of SPIE Proceedings, page 94140L. SPIE, (2015)Variations in Breast Density and Mammographic Risk Factors in Different Ethnic Groups., , , , , , , , , and 1 other author(s). Digital Mammography / IWDM, volume 9699 of Lecture Notes in Computer Science, page 510-517. Springer, (2016)Mammographic Density Over Time in Women With and Without Breast Cancer., , , , , , , , , and 4 other author(s). Digital Mammography / IWDM, volume 9699 of Lecture Notes in Computer Science, page 291-298. Springer, (2016)Breast density in Saudi Arabia: intra and inter reader variability in screening mammograms assessed visually using BI-RADS and visual analogue scales., , , , , , , , , and 4 other author(s). Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 11316 of SPIE Proceedings, page 113160H. SPIE, (2020)A citizen science approach to optimising computer aided detection (CAD) in mammography., , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 10577 of SPIE Proceedings, page 105770Z. SPIE, (2018)Local mammographic density as a predictor of breast cancer., , , , , , , , , and 3 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 9414 of SPIE Proceedings, page 941417. SPIE, (2015)The impact of using weight estimated from mammographic images vs. self-reported weight on breast cancer risk calculation., , , , , , , , , and 2 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101342V. SPIE, (2017)