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| MO-E115-GePD-F2-2 | Radiomics-Based Outcome Prediction Model Development ForPancreatic Cancer D Zheng1*, M Baine1 , C Zhang2 , Q Du2 , X Liang3 , A Kamal1 , H Yu2 , (1) University of Nebraska Medical Center, Omaha, NE, (2) University of Nebraska Lincoln, Lincoln, NE, (3) University of Florida, Jacksonville, FL |
| SU-I-GPD-I-4 | Effect of the Classifier Performance Criterion On Image Quality Assessment in MRI R Gabr1*, C Williams2 , R He1 , P Narayana1 , (1) University of Texas Health Science Center at Houston, Houston, TX, (2) Bucknell University, Lewisburg, PA |
| SU-J400-CAMPUS-F1-1 | A Fuzzy C-Means Multi-Parametric Segmentation Method for Temporal Stability Area Definition On Shear Wave Elastography Image Sequences I Gatos1 , S Tsantis2 , P Zoumpoulis3 , I Theotokas4 , D Mihailidis5 , J Hazle6 G Kagadis7*, (1) University of Patras, Rion, Ahaia, Greece (2) University of Patras, Rion, Ahaia, Greece (3) Diagnostic Echotomography S.A., Kifissia, Attiki, Greece (4) Diagnostic Echotomography S.A., Kifissia, Attiki, Greece (5) University of Pennsylvania, Philadelphia, PA, (6) UT MD Anderson Cancer Center, Houston, TX, (7) university Patras, Rion - Patras, Greece |
| TU-E115-GePD-F3-1 | A Machine Learning Process for Delta Radiomics H Nasief*, X Li , Froedtert Hospital and the Medical College of Wisconsin, Milwaukee, WI |
| WE-C1030-GePD-F4-6 | Multi-Classification of Clinical Notes for Natural Language Processing-Based Information Aggregation in Radiotherapy D Ruan*, Y Min , D Low , M Steinberg , UCLA, Los Angeles, CA |
| WE-C1030-GePD-F7-1 | A Machine Learning Framework for Predicting the Tumor Control Probability of Radiation Therapy Plans E Lee1*, Y Cao2 , A Templeton3 , R Yao4 , J Chu5 , (1) Georgia Institute of Technology, Atlanta, GA, (2) Georgia Institute of Technology, Atlanta, GA, (3) Rush University Medical Center, Chicago, IL, (4) Columbus Regional Healthcare, Columbus, GA, (5) Rush University Medical Center, Oak Brook, IL |