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| TH-D-301-0 | Vendor Related Mammography Updates R Iordache1*, S Kappler2*, T Patel3*, L Caro4*, (1) GE Healthcare, Buc, ,(2) Siemens, Forchheim, ,(3) Hologic, Inc, Danbury, CT, (4) Fujifilm |
| TH-D-301-1 | Introduction R Iordache1*, S Kappler2*, T Patel3*, L Caro4*, (1) GE Healthcare, Buc, ,(2) Siemens, Forchheim, ,(3) Hologic, Inc, Danbury, CT, (4) Fujifilm |
| TH-D-301-2 | GE Senographe Pristina: technical assessment and clinical perspectives R Iordache1*, S Kappler2*, T Patel3*, L Caro4*, (1) GE Healthcare, Buc, ,(2) Siemens, Forchheim, ,(3) Hologic, Inc, Danbury, CT, (4) Fujifilm |
| TH-D-301-3 | Better insight with wide angle tomosynthesis R Iordache1*, S Kappler2*, T Patel3*, L Caro4*, (1) GE Healthcare, Buc, ,(2) Siemens, Forchheim, ,(3) Hologic, Inc, Danbury, CT, (4) Fujifilm |
| TH-D-301-4 | Update on Hologic’s High Resolution Breast Tomosynthesis Systems R Iordache1*, S Kappler2*, T Patel3*, L Caro4*, (1) GE Healthcare, Buc, ,(2) Siemens, Forchheim, ,(3) Hologic, Inc, Danbury, CT, (4) Fujifilm |
| TH-D-301-5 | Fujifilm's ASPIRE Cristalle R Iordache1*, S Kappler2*, T Patel3*, L Caro4*, (1) GE Healthcare, Buc, ,(2) Siemens, Forchheim, ,(3) Hologic, Inc, Danbury, CT, (4) Fujifilm |
| TU-AB-225BCD-1 | BEST IN PHYSICS (MULTI-DISCIPLINARY): A New Positron Emission Mammography (PEM) Ultrasound-Guidance Device for Breast Biopsy C Park1,2,*, J Bax2, A Fenster1,2, (1) Western University Ontario, London, ON, Canada, (2) Robarts Research Institute, London, ON, Canada |
| TU-E-221AB-2 | A Comparison Study of Deep Learning Techniques for Mass Detection in Mammograms K Noro1*, X Zhang2 , H Takano3 , K Ichiji4 , N Homma5 , (1) Tohoku university, Sendai, 04, (2) Sendai National College of Technology, Sendai, ,(3) Tohoku University, Sendai, ,(4) Tohoku University, Sendai, 04, (5) Tohoku University, Sendai, |
| TU-F115-GePD-F8-1 | Annual Repeat/Reject Analysis for Four Mammography Units V Garcia*, W Wang , University of Oklahoma Health Science Center, Oklahoma City, OK |
| TU-F115-GePD-F8-3 | Glandular Dose Indices Using a Glandular Dose-To-Air Kerma Volume Histogram in Mammography S Shinohara*, F Araki , Kumamoto University, Kumamoto, 43 |
| TU-F115-GePD-F8-4 | Prediction of Benign Or Malignant Breast Masses Using Texture Features From Digital Mammograms by Three Machine Learning Methods Y Cui12, Y Li3, J Zhu124*, J Dong2*,(1) Department of Radiation Oncology Physics and Technology,Shandong Cancer Hospital affiliated to Shandong University, Jinan 250117, China.(2)Shandong Provincial Key Laboratory of Network based Intelligent Computing, School of Information Science and Engineering, University of Jinan, Jinan 250022, China. (3) Department of Radiology, Shandong Cancer Hospital affiliated to Shandong University,Jinan 250117,China.(4) Shandong Medical Imaging and Radiotherapy Engineering Technology Research Center,Jinan 250117, China |
| WE-HI-221CD-0 | In Memoriam of Libby Brateman: Education, Licensure, Guidance and Mammography- Enhancing the Recognition of the Medical Physics Profession M McKetty1*, S Leon2*, R Pizzutiello3*, D Gilley4*, P Butler5*, (1) ,Spencerville, MD, (2) University of Florida, Gainesville, FL, (3) Instrument for Change, Inc., Victor, NY, (4) IAEA, Vienna, ,(5) Derwood, MD |
