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An observer study to assess the detection of calcification clusters using 2D mammography, digital breast tomosynthesis, and synthetic 2D imaging.

A. Mackenzie, E. Thomson, P. Elangovan, C. Ongeval, L. Cockmartin, L. Warren, R. Given-Wilson, L. Wilkinson, M. Wallis, D. Dance, and K. Young. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 10952 of SPIE Proceedings, page 109520U. SPIE, (2019)

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Structurally Efficient Video Codec for Wireless Mobile Applications.P. Elangovan, G. Luo, and G. Lawday. ITNG, page 190-195. IEEE Computer Society, (2007)Restoring Video Bitstream Integrity by Resolving Field Reversal and Mixed Pulldown Errors.P. Elangovan, and P. Harding. TBC, 59 (1): 188-196 (2013)Effect of Dose on the Detection of Micro-Calcification Clusters for Planar and Tomosynthesis Imaging.A. Mackenzie, A. Hadjipanteli, P. Elangovan, P. Looney, R. Ealden, L. Warren, D. Dance, K. Wells, and K. Young. Digital Mammography / IWDM, volume 9699 of Lecture Notes in Computer Science, page 152-159. Springer, (2016)Improved segmentation of meteorite micro-CT images using local histograms.L. Griffin, P. Elangovan, A. Mundell, and D. Hezel. Computers & Geosciences, (2012)PhaseQuant: A tool for quantifying tomographic data sets of geological specimens.P. Elangovan, D. Hezel, L. Howard, R. Armstrong, and R. Abel. Computers & Geosciences, (2012)Using transfer learning for a deep learning model observer.W. Murphy, P. Elangovan, M. Halling-Brown, E. Lewis, K. Young, D. Dance, and K. Wells. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 10952 of SPIE Proceedings, page 109520E. SPIE, (2019)A Modelling Framework for Evaluation of 2D-Mammography and Breast Tomosynthesis Systems.P. Elangovan, A. Mackenzie, O. Díaz, A. Rashidnasab, D. Dance, K. Young, L. Warren, E. Shaheen, H. Bosmans, P. Bakic and 1 other author(s). Digital Mammography / IWDM, volume 7361 of Lecture Notes in Computer Science, page 338-345. Springer, (2012)Comparison of synthetic 2D images with planar and tomosynthesis imaging of the breast using a virtual clinical trial.A. Mackenzie, S. Kaur, P. Elangovan, D. Dance, and K. Young. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 10577 of SPIE Proceedings, page 105770H. SPIE, (2018)An observer study to assess the detection of calcification clusters using 2D mammography, digital breast tomosynthesis, and synthetic 2D imaging.A. Mackenzie, E. Thomson, P. Elangovan, C. Ongeval, L. Cockmartin, L. Warren, R. Given-Wilson, L. Wilkinson, M. Wallis, D. Dance and 1 other author(s). Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 10952 of SPIE Proceedings, page 109520U. SPIE, (2019)OPTIMAM Image Simulation Toolbox - Recent Developments and Ongoing Studies.P. Elangovan, A. Hadjipanteli, A. Mackenzie, D. Dance, K. Young, and K. Wells. Digital Mammography / IWDM, volume 9699 of Lecture Notes in Computer Science, page 668-675. Springer, (2016)

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An observer study to assess the detection of calcification clusters using 2D mammography, digital breast tomosynthesis, and synthetic 2D imaging.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML An observer study to assess the detection of calcification clusters using 2D mammography, digital breast tomosynthesis, and synthetic 2D imaging.

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An observer study to assess the detection of calcification clusters using 2D mammography, digital breast tomosynthesis, and synthetic 2D imaging.