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Keywords: Observer Performance
| MO-A-BRC-3 | Inter-Observer variation of Target and Organ Contouring Before and After the Adoption of A deep-Learning Auto-Contouring Model for Localized Prostate Cancer Y Wang*, S C Kamran, J A Efstathiou, Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA |
| MO-C930-BOP-F1-1 | Improved Gender Distribution of Moderators and Speakers at AAPM Annual Meetings Over Time A Roso-Mares1, S St. James2, A Cetnar3, J Pollard-Larkin4, R Jagsi5, S Evans6, J Moran7, L Cervino8*, (1) ,San Diego, CA, (2) Huntsman Cancer Institute, Salt Lake City, Utah, (3) The Ohio State University - James Cancer Hospital, Columbus, OH, (4) MD Anderson Cancer Center, Houston, TX, (5) University Of Michigan, ,,(6) Yale University, New Haven, CT, (7) Memorial Sloan Kettering Cancer Center, New York, NY, (8) Memorial Sloan Kettering Cancer Center, New York, NY |
| PO-GePV-M-258 | Inter-Observer and Intra-Observer Variability of Pelvic Organs at Risk Delineation in Multiple Magnetic Resonance Imaging Sequences W Zheng1,2, S Huang1, E Li1,3, J Lian1,4, X Yang1*, (1) 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 province, 510060, China, (2) Department of Radiation Oncology, Southern Theater Air Force Hospital of the People's Liberation Army, Guangzhou, Guangdong province, 510050, China, (3) Guangzhou Xinhua College, Guangzhou, Guangdong, 510520, China,(4) Department of Radiation Oncology, The First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, Guangdong province, 510405, China |
| PO-GePV-M-345 | Automatic Segmentation Algorithms Improve the Efficiency and Inter-Observer Agreement of Gross Target Volumes Contours E Czeizler1, J Pajula2, H Polonen3, K Antila4, K Lehtio5, J Lehto6, A Tiulpin7, A Maslowski8, M Hakala9, E Kuusela10, K Bush11*, (1) Varian Medical Systems Finland, Helsinki, FI, (2) VTT Technical Research Center of Finland, Tampere, ,FI, (3) VTT Technical Research Center of Finland, Tampere, FI, (4) VTT Technical Research Center of Finland, Tampere, FI, (5) Oulu University Hospital, Department of Oncology and Radiotherapy, Oulu, FI, (6) Oulu University Hospital, Department of Oncology and Radiotherapy, Oulu, ,FI, (7) Ailean Technologies Oy, FI, (8) Varian Medical Systems, Palo Alto, CA, (9) Varian Medical Systems Finland, Helsinki, FI, (10) Varian Medical Systems Finland, Helsinki, FI, (11) Stanford University, Stanford, CA |
| SU-F-201-7 | Discriminability of Non-Gaussian Noise Properties in CT and the Limitation of the Noise Power Spectrum to Describe Noise Texture K Boedeker1*, D Shin2, L Oostveen3, I Sechopoulos4, C Abbey5, (1) Canon Medical Systems Corporation, Otawara, Japan (2) (1) Canon Medical Systems Corporation, Otawara, Japan (3) Radboud University Nijmegen Medical Centre, Nijmegen, ,NL, (4) Radboud University Medical Centre, Nijmegen, ,(5) University of California - Santa Barbara, Santa Barbara, CA |
| TU-J430-BReP-F1-4 | Training Search Models for in Silico Breast Imaging Trials M Lago*, A Badano, Food & Drug Administration, Silver Spring, MD |