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Keywords: feature extraction
PO-GePV-M-16Predicting Successful Clinical Candidates for Marker-Less Lung Tumor Tracking with a Deep Learning Classification Model
M Lafreniere*, G Valdes, M Descovich, University of California San Francisco, San Francisco, CA
PO-GePV-M-21Deep Transfer Learning for the Multi-Label Classification of COVID-19 Presentation On Thoracic CT Scans
D Tada*, J Fuhrman, F Li, M Giger, University of Chicago, Chicago, IL
PO-GePV-M-36Probabilistic Feature Extraction, Dose Statistic Prediction and Dose Mimicking for Automated Radiation Therapy Treatment Planning
T Zhang1, 2*, R Bokrantz2, J Olsson1, (1) Department of Mathematics, KTH Royal Institute of Technology, Stockholm SE-100 44, Sweden (2) RaySearch Laboratories, Sveavagen 44, Stockholm SE-103 65, Sweden
PO-GePV-M-53Multi-Modality (PET/CT) Radiomics Based Recurrence Prediction in Head and Neck Cancers Prior to Radiotherapy
M Schelin*, R Sheu, R Bakst, J Junn, Y Yuan, The Mount Sinai Hospital, New York, NY
SU-E-TRACK 6-7Spatial Reconstruction of Statistically Significant Radiomics Signatures Using 3D Wavelet Decomposition in Tumors of Oropharyngeal Cancer
H Bagher-Ebadian*, F Siddiqui, A Ghanem, S Zhu, M Lu, B Movsas, I Chetty, Henry Ford Health System, Detroit, MI
SU-IePD-TRACK 1-6Uniqueness of Radiomic Features in NSCLC: BeyondReproducibility/Repeatability
G Ge*, J Zhang, University of Kentucky, Lexington, KY
SU-IePD-TRACK 2-3A Deep Learning-Based Radiomics Approach to Identify Patient with Early Tumor Regression Utilizing Planning CT Images for Adaptive Radiotherapy
S Tanaka1*, N Kadoya1, Y Sugai1, M Umeda1, Y Katsuta1, K Ito1, T Yamamoto1, N Takahashi1, K Takeda1, S Dobashi2, K Takeda2, K Jingu1, (1) Department of Radiation Oncology, Tohoku University Graduate School of Medicine, Sendai, Japan, (2) Department of Radiation Therapy, Tohoku University Graduate School of Medicine, Sendai, Japan
WE-IePD-TRACK 2-6Classification of Tumor Progression and Radiation Necrosis Following Gamma Knife for Brain Metastases Using Radiomic Features and Clinical Variables
D Mitchell*, S Buszek, B Tran, H Liu, D Luo, S Ferguson, C Chung, UT MD Anderson Cancer Center, Houston, TX