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Keywords: mammography
MO-J430-CAMPUS-F1-1A Method of Corresponding Point Matching On Different-View Mammograms Based On Neural Network
Q Ling1*, X Duan1 , S Wu2 , H Qi2 , C chen1 , J Ma1 , B Li1 ,W Chen3 , G Qin3 , L Zhou1 , Y Xu1 , (1) Southern Medical University, Guangzhou, Guangdong,(2) Guangzhou Huaduan Technology Co. Ltd., Guangzhou, guangdong, (3) Nanfang Hospital, Southern Medical University
SU-F-207-1An Analysis of Mammography Survey Data Over a 17-Year Time Period
A Rubinstein*, L Wagner , J Feng , UT McGovern Medical School, Houston, TX
SU-I-GPD-E-2Physics Labs for First Year Radiology Residents
G David*, Augusta University
SU-I-GPD-I-15Using 3D Printing Techniques and Multi-Modality Tissue Equivalent Material to Create An Anthropomorphic Breast Phantom
Y He*, J Qiu , F Zheng , T Chen , Y Zhu , h zhang , F Zhang , Taishan Medical University, Taian, Shandong
TU-AB-202-2BEST IN PHYSICS (IMAGING): Evaluation of An Automated Grid Artifact Detection System for Quality Control in Digital Mammography
C MacLellan1*, W Geiser1 , R Layman1 , D Gress2 , A Jones1 , (1) MD Anderson Cancer Center, Houston, TX, (2) American College of Radiology, Reston, VA
TU-AB-202-3Mammography and Breast Tomosynthesis Simulations for in Silico Clinical Trials and Deep Learning Classifier Training: Upgraded Models in the MC-GPU Code and Sensitivity Analysis of Input Parameters
A Badal*, D Sharma , C Graff , R Zeng , A Badano , Food & Drug Administration, Silver Spring, MD
TU-AB-202-7Clustering for Non-Redundant Feature Selection in Radiomics for Breast Cancer Risk Assessment
K Mendel*, S Porter , H Li , L Lan , D Schacht , M Giger , university Chicago, Chicago, IL
TU-E115-GePD-F1-1A Comparison of Whole-Breast and Maximum Glandularity Estimates in Mammography Patient Dose
M Hill*, R Highnam, Volpara Solutions Ltd., Wellington, New Zealand
TU-E115-GePD-F1-3Deep Learning Mammography Model From Public Dataset to Clinical Practice - Performance Discrepancy Examined
Q Chen*, J Liu , X Wang , University of Kentucky, Lexington, KY
TU-I345-GePD-F1-4Mammography, Tomosynthesis, and SBB AEC Performance and Displayed AGD Accuracy for Dose Estimation Program
V Garcia*, W Wang , University of Oklahoma Health Science Center, Oklahoma City, OK