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Taxonomy: IM- CT: Radiomics
| PO-GePV-M-40 | Radiomics Analysis Improves Machine Learning Models Assessing Chronic Obstructive Pulmonary Disease R Au1*, K Makimoto1, W Tan2, J Bourbeau3, J Hogg2, M Kirby1, (1) Ryerson University, Toronto, ON, CA, (2) Centre For Heart Lung Innovation, University Of British Columbia, Vancouver, BC, CA, (3) McGill University, Montreal, QC, CA |
| PO-GePV-M-47 | Robustness and Performance of Radiomic Features in Diagnosing Cystic Renal Masses A Konik1*, N Miskin2, Y Guo3, A Shinagare4, L Qin5, (1) ,Boston, MA, (2) ,,,(3) ,,,(4) Brigham And Women's Hospital, ,,(5) Dana-Farber Cancer Institute, Boston, MA |
| SU-IePD-TRACK 1-6 | Uniqueness of Radiomic Features in NSCLC: BeyondReproducibility/Repeatability G Ge*, J Zhang, University of Kentucky, Lexington, KY |