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

, , , , , , , , , и . Medical Image Anal., (2021)

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Emily Solly

Emily Shen

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Emily Feneberg

 

Другие публикации лиц с тем же именем

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