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Keywords: Feature Extraction
MO-C930-IePD-F5-1Patient-Specific Nuclei Size and Cell Spacing Distribution Extraction From Histopathology Whole Slide Images for Treatment Outcome Prediction Modelling
Y Zou1*, M Lecavalier-barsoum2, M Pelmus3, S Abbasinejad Enger1,2,4, (1) Medical Physics Unit, Department of Oncology, Faculty of Medicine, McGill University, Montreal, QC, CA, (2) Department of Radiation Oncology, Jewish General Hospital, Montreal, QC, Canada, (3) Department of Pathology, Faculty of Medicine, McGill University, Montreal, QC, CA, (4) Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, CA
MO-E115-IePD-F4-4Variational Clustering: Toward Unsupervised Machine Learning-Based Error Detection in Patient-Specific IMRT QA
J Perez-sanchez*, B Lu, S Samant, J Li, C Liu, G Yan, University of Florida, Gainesville, FL
MO-FG-BRB-4Computational Mapping of Lymphocytic Topology On Digital Pathology Images with Single Cell Resolution Immunohistochemistry Validation
X Li1*, G Sotolongo2, Y Mowery3, J Hodgin4, A Janowczyk5, L Barisoni6, K Lafata7, (1) Duke University, Durham, NC, (2) Duke University Health System, Durham, NC, (3) Duke University Medical Center, Durham, NC, (4) University of Michigan, Ann Arbor, MI, (5) Case Western Reserve University, Cleveland, OH,(6) Duke University, Durham, NC, (7) Duke University, Durham, NC
PO-GePV-I-39Developing a 3D Printed Phantom for Multi-Institutional Radiomic Studies and Assessment Software to Evaluate a Radiomic Software
S Duong1, D Lee2, S Oh3, X Chen4, M Hwang5, H Li6, Y Cui7, M Boss8, Y Xiao9, J Sohn10*, (1) ,,,(2) Allegheny Health Network, Pittsburgh, PA, (3) Allegheny General Hospital, Wexford, PA, (4) Allegheny Health Network, Drexel University, Pittsburgh, PA, (5) Allegheny Health Network, Pittsburgh, PA, (6) Johns Hopkins Medicine, Washington, DC, (7) Duke University Medical Center, Durham, NC, (8) American College of Radiology, Malvern, PA, (9) University of Pennsylvania, Philadelphia, PA, (10) Allegheny Health Network, Pittsburgh, PA
PO-GePV-M-20A Hybrid Tumor Model for Ultra-Large-Scale Heterogeneous Vascular Tumor Growth
J Du1*, Y Zhou2, L Jin2, K Sheng1, (1) UCLA School of Medicine, Los Angeles, CA, (2) UCLA School of Engineering, Los Angeles, CA
PO-GePV-M-47IBSI-Compatible Convolutional Image Texture Filters in CERR
A Iyer*, E LoCastro, H Veeraraghavan, J Deasy, A Apte, Memorial Sloan Kettering Cancer Center, New York, NY
PO-GePV-M-60Assessing Role of Feature Selection in Deep Transfer Classification of Indeterminant Thyroid Nodules
JL Cozzi*, H Li, J Williams, J Conn Busch, L Lan, XM Keutgen, ML Giger, University of Chicago, Chicago, IL
PO-GePV-M-68Stability of Radiomics Features Using 4D-CT Across Radiomics Platforms and Contour Variations for Lung and Liver Tumors 
X Wang1*, C Ma1, Y Li1,2, Y Zhang1, Y Zhang1, N Yue1, K Nie1, (1) Rutgers Cancer Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, (2) Saint Vincent Hospital, Worchester, MA
PO-GePV-M-337A 2D/3D Integrated Network for Breast Tumor Classification
X Chen1, X Wang1*, J Lv1, Z Zhou2, (1) Xi'an Jiaotong University, Xi'an, 61, CN, (2)University Of Kansas Medical Center,Kansas City, KS.
SU-H330-IePD-F9-2Levenshtein Distance-Based Feature Representation for Structure Name Standardization in Radiotherapy
Y Hu*, L Santanam, Memorial Sloan Kettering Cancer Center, New York, NY
SU-H330-IePD-F9-3A Framework for Reproducible and Scalable Radiomics Pipelines for Radiation Oncology Using Self-Contained Containers and Workflow Manager
W Choi1*, H Nourzadeh1, S Lee2, Y Chen1, N Ghassemi1, Y Vinogradskiy1, A Dicker1, (1) Thomas Jefferson University Hospital, Philadelphia, PA, (2) Marshall University, Huntington, WV
SU-H430-IePD-F6-2Need for PET/CT Harmonization in Multi-Center Immunotherapy Radiomics Studies
K Strasek1*, R Jeraj1,2, M Namias3, D Valentinuzzi1, (1) University of Ljubljana, Faculty for Mathematics and Physics, Ljubljana,SI, (2) University of Wisconsin, Madison, WI, (3) Fundacion Centro Diagnostico Nuclear, Buenos Aires, B, AR
TH-B-202-1Effect of PET Image Discretization On Radiomic Features of Patients Undergoing Definitive Radiotherapy for Oropharyngeal Cancer
B Riley*, C Wang, Z Yang, Y Mowery, D Brizel, F Yin, K Lafata, Duke University Medical Center, Durham, NC
TU-D930-IePD-F2-5Deep Learning-Based Prognosis Prediction of Diffuse Large B-Cell Lymphoma in PET Images
C Qian1;3*, C Jiang2, X Kai1, D Cao3, J Sun1, G Liugang1, N Xinye1, (1) The Affiliated Changzhou NO.2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, CN, (2) Nanjing Drum Tower Hospital, Nanjing, Jiangsu, CN, (3) Changzhou Institute of Technology, Changzhou, Jiangsu, CN