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|MO-E115-GePD-F2-4||Prediction of Acute Xerostomia Based On Delta Radiomics From CT Images During Radiation Therapy for Nasopharyngeal Cancer|
Yanxia LIU1*, Hongyu SHI1, Sijuan Huang2, Xiaochuan CHEN1, Huimin ZHOU2,3, Hui CHANG2, Yunfei XIA2, Guohua WANG1, Xin Yang2. (1) School of Software Engineering, South China University of Technology, Guangzhou, Guangdong, 510006, China. (2) Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, Guangdong, 510060, China. (3) Department of Oncology, the Seventy-fourth Group Army Hospital of the Chinese People's Liberation Army, Guangzhou, Guangdong, 510318, China.
|MO-I345-GePD-F2-5||VMAT Plan Complexity Feature Analysis for Predicting Quality Assurance Outcomes Using Forests of Extremely Randomized Decision Trees|
P Wall1*, J Fontenot1,2 , (1) Louisiana State University, Baton Rouge, LA, (2) Mary Bird Perkins Cancer Center, Baton Rouge, LA
|SU-E-SAN2-4||Evaluating the Stability of Radiomics Features Using 4D-CT|
X Wang1*, C Ma1 , H Wang2 , Y Zhang1 , N Yue1 , K Nie1 , (1) Rutgers-Cancer Institute of New Jersey, Rutgers-Robert Wood Johnson Medical School, New Brunswick, NJ, (2) Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China
|SU-J400-CAMPUS-F2-2||Observer-Independent, Hand-Crafted Radiomic Features Predict GBM Patient-Specific Survival|
E Carver1*, N Wen2 , E Liang3 , J Snyder4 , (1) Wayne State University, Troy, MI, (2) Henry Ford Hospital, Detroit, MI, (3) HFHS, Detroit, ,(4) HFHS, Detroit,
|TU-C930-GePD-F6-4||The Stability of CT Radiomics Feature Using Repeated Scans|
C Ma1*, (1) Rutgers Cancer Institute of New Jersey
|WE-J-303-5||Analytical Grayscale Transformation for Gain-Setting Calibration in Quantitative Ultrasound Radiomics|
X He*, X Yang , J Wynne , D Yu , J Beitler , W Curran , T Liu , Emory University, Atlanta, GA