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International Journal of Women's Health Volume 6, 2014 - Issue

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Update on new technologies in digital mammography

Stephanie K PattersonDivision of Breast Imaging, Department of Radiology, University of Michigan Health System, Ann Arbor, MI, USACorrespondence[email protected]

Marilyn A RoubidouxDivision of Breast Imaging, Department of Radiology, University of Michigan Health System, Ann Arbor, MI, USA

Pages 781-788 | Published online: 14 Aug 2014

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P. G. Labazanova, M. V. Budanova, I. I. Burdina, S. B. Zapirova, M. L. Mazo, S. Yu. Mikushin, S. P. Prokopenko & N. I. Rozhkova. (2021) Mammographic density as marker of increased risk of breast cancer. Medical alphabet:19, pages 41-48.
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Hafiz Mughees Ahmad, Muhammad Jaleed Khan, Adeel Yousaf, Sajid Ghuffar & Khurram Khurshid. (2020) Deep Learning: A Breakthrough in Medical Imaging. Current Medical Imaging Formerly Current Medical Imaging Reviews 16:8, pages 946-956.
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Taye Girma Debelee, Friedhelm Schwenker, Achim Ibenthal & Dereje Yohannes. (2019) Survey of deep learning in breast cancer image analysis. Evolving Systems 11:1, pages 143-163.
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Ebru Salmanoglu, Kimberly Klinger, Chandni Bhimani, Alexander Sevrukov & Mathew L. Thakur. (2019) Advanced approaches to imaging primary breast cancer: an update. Clinical and Translational Imaging 7:6, pages 381-404.
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Euclid SeeramEuclid Seeram. 2019. Digital Radiography. Digital Radiography 111 123 .

Benedikt Schaefgen, Joerg Heil, Richard G. Barr, Marcus Radicke, Aba Harcos, Christina Gomez, Anne Stieber, André Hennigs, Alexandra von Au, Julia Spratte, Geraldine Rauch, Joachim Rom, Florian Schütz, Christof Sohn & Michael Golatta. (2018) Initial results of the FUSION-X-US prototype combining 3D automated breast ultrasound and digital breast tomosynthesis. European Radiology 28:6, pages 2499-2506.
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Shayan Shaghayeq Nazari & Pinku Mukherjee. (2018) An overview of mammographic density and its association with breast cancer. Breast Cancer 25:3, pages 259-267.
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Lars Olsson, Mats Nilsson, Björn Svenson & Kristina Hellén-Halme. (2016) The effect of anatomical noise on perception of low contrast in intra-oral radiographs: an in vitro study . Dentomaxillofacial Radiology 45:4, pages 20150402.
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Update on new technologies in digital mammography

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