| Data Science Applications | Tuesday - 7/16/2019 | ||
| Multi-Disciplinary General ePoster Discussion | 10:30 AM - 11:00 AM | Room: Exhibit Hall | Forum 6 | |
| Tuesday | TU-C1030-GePD-F6-1 : A Methodology for Computer-Aided Diagnosis of Thyroid Lesions Based On Computed Tomography Images C.Liu*, Y.Yang, D.Shao, W.Peng, Y.Wang, Y.Wang | |
| Tuesday | TU-C1030-GePD-F6-2 : Differentiation Among Non-Small Cell Lung Cancer Subtypes Using Quantitative Radiomic Features of 18F-FDG PET/CT X.Sha*, G.Gong, Q.Qiu, Y.Yin | |
| Tuesday | TU-C1030-GePD-F6-3 : Identifying Predictive Radiomic Markers for Patients in RTOG0617 Using Multiple Feature Selection Methods N.Sasankan*, H.Geng, H.Zhong, Y.Fan, M.Rosen, Y.Xiao | |
| Tuesday | TU-C1030-GePD-F6-4 : Liver Cancer Risk Quantification with Smoking Through Artificial Neural Network W.Muhammad*, G.Hart, B.Nartowt, Y.Liang, J.Deng | |
| Tuesday | TU-C1030-GePD-F6-5 : Mixup-Based Data Augmentation for Histopathologic Cancer Detection K.Xu* | |
| Tuesday | TU-C1030-GePD-F6-6 : Predicting Differentiation Status and Outcomes of Colon Cancer From Histopathology Images Using Deep Learning Method S.Chen*, J.Wang, W.Hu, Z.Zhang | |
