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| MO-J430-CAMPUS-F1-1 | A 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-207-1 | An 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-2 | Physics Labs for First Year Radiology Residents G David*, Augusta University |
| SU-I-GPD-I-15 | Using 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-202-2 | BEST 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-202-3 | Mammography 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-202-7 | Clustering 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-F1-1 | A 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-F1-3 | Deep 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-F1-4 | Mammography, 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 |