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Taxonomy: IM/TH- image Segmentation: CT

PO-GePV-I-64	Assessment of the Generalizability of Organ Segmentation CNNs Across CT Scanner Manufacturers A Weisman*, M La Fontaine, O Lokre, R Munian-govindan, T Perk, AIQ Solutions, Madison, WI
PO-GePV-M-5	Geometric and Dosimetric Evaluation of An Atlas - Based Autosegmentation Software On Organs-At-Risk (OARs) for Tomotherapy Planning of Nasopharyngeal Carcinoma (NPC) Patients Y Wang1*, P Cheung1, J Lui2, F Lee2, L Wing Sum2, H Yiu2, J Cai1, (1) The Hong Kong Polytechnic University, Hong Kong, CN, (2) Queen Elizabeth Hospital, Hong Kong, HK
PO-GePV-M-7	Performance Evaluation of AI-Based Automatic Segmentation Modules for Head and Neck Cancer Patients Y Liao*, R Injerd, G Tolekidis, N Joshi, J Turian, Rush University Medical Center, Chicago, IL
PO-GePV-M-9	Auto Segmentation Model for Head and Neck Cancer Patients Using U-Net with Convolutional Block Attention Modules K Yamamoto1*, R Nakagami1, M Nakano2, H Ishiyama2, Y Tanaka3, T Hasegawa1, M Hashimoto1, (1) Kitasato University School of Allied Health Sciences, Sagamihara, Kanagawa, JP, (2) Kitasato University School of Medicine, Sagamihara, Kanagawa, JP, (3) Kitasato University Graduate School of Medical Sciences, Sagamihara, Kanagawa, JP
PO-GePV-M-14	Multi-Organ Auto-Segmentation of Abdominal Structures On Contrast-Enhanced CT Images with Escalating Training Data Size C Yu1*, C Anakwenze1, Y Zhao1, R Martin1, J Niedzielski1, E Ludmir1, J Yang1, L Court1, C Cardenas2, (1) The University of Texas MD Anderson Cancer Center, Houston, TX, (2) The University of Alabama at Birmingham, Birmingham, AL
PO-GePV-M-16	Evaluation of a Commercial Convolution Neural Network Based Auto-Segmentation Software M Leyva*, D Wang, N Mcallister, A Gutierrez, R Tolakanahalli, Miami Cancer Institute, Miami, Florida
PO-GePV-M-200	Assessment of Clinical Impact On Treatment Planning of the Use of Deep-Learning Model for Organ-At-Risk Autosegmentation for Head and Neck Cancer J Lucido1*, T DeWees2, T Leavitt2, A Anand2, C Beltran3, M Brooke4, J Buroker1, R Foote1, O Foss1, T Hodge1, C Hughes4, A Hunzeker1, N Laack1, T Lenz1, M Morigami4, D Moseley1, Y Patel4, E Tryggestad1, L Undahl1, A Zverovitch4, S Patel2, (1) Mayo Clinic, Rochester, MN, (2) Mayo Clinic, Phoenix, AZ, (3) Mayo Clinic, Jacksonville, FL, (4) Google Health, Mountain View, CA
PO-GePV-M-202	A Clinical and Time Savings Evaluation of a Commercial Deep Learning Automatic Contouring Algorithm J Ginn1*, H Gay2, J Hilliard2, J Shah3, N Mistry3, C Mohler3, G Hugo2, Y Hao2, (1) Duke University, Durham, NC, (2) Washington University School of Medicine, St. Louis, MO (3) Siemens Healthineers, Durham, NC
PO-GePV-M-209	Automated Clinical Target Volume (CTV) Delineation Using Deep 4D Neural Networks with Enhanced OAR Sparing in Radiation Therapy of Non-Small Cell Lung Cancer (NSCLC) Y Xie1*, K Kang2, Y Wang3, M Khandekar4, H Willers5, F Keane6, T Bortfeld7, (1) Massachusetts General Hospital, Boston, MA, (2) Independent Researcher, ,,(3) Massachusetts General Hospital, Boston, MA, (4) Massachusetts General Hospital, ,,(5) Massachusetts General Hospital, Boston, MA, (6) Massachusetts General Hospital, ,,(7) Massachusetts General Hospital, Boston, MA
PO-GePV-M-211	Clinical Equivalency of Alternate Head-And-Neck OAR Delineations MNH Rashad1*, F Badry1, V Leandro Alves1, H Nourzadeh2, W Choi2, J Siebers1, (1) University of Virginia, Charlottesville, VA, (2) Thomas Jefferson University, Philadelphia, PA,
PO-GePV-M-278	Evaluation of Auto Contouring Accuracy for a Commercial Software Compared to Physician Contouring X Liu1*, Y Zheng1, (1) Guangzhou Concord Cancer Center, Guangzhou, 44, CN
PO-GePV-M-308	Cardiac Substructure Segmentation Using Self-Configuring NnUNet and NnFormer for Cardiac-Sparing Lung Cancer Radiotherapy S Lee1, D Wang1, J Natarajan2, N Yegya-raman1, T Kegelman1, S Feigenberg1, G Kao1, Y Xiao1*, (1) Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA, (2) Drexel University College of Medicine, Philadelphia, PA
PO-GePV-M-335	Automated Delineation of CTVs for Nasopharyngeal Cancer C Sjogreen1*, T Netherton1, C Cardenas2, A Lee1, B Beadle3, D Rhee1, S Gay1, C Nguyen1, R Mumme1, J Duryea1, L Court1, (1) UT MD Anderson Cancer Center, Houston, TX, (2) The University of Alabama at Birmingham, Birmingham, AL,(3) Stanford University, Stanford, CA,
PO-GePV-T-1	An Evaluation of Five Commercially Available Models for Autosegmentation of Organs at Risk in Genitourinary Malignancies S Yaddanapudi1*, A Anand2, J Brooks3, M Fatyga2, R Foote3, D Hobbis2, A Jackson1, J Lucido3, J Ma3, D Moseley3, D Pafundi1, S Patel2, Y Rong2, D Routman3, B Stish3, E Tryggestad3, (1) Mayo Clinic, Jacksonville, FL, (2) Mayo Clinic, Phoenix, AZ, (3) Mayo Clinic, Rochester, MN
SU-E-BRB-2	Automated Contour Edit Tracking to Improve AI Auto-Segmentation S Elguindi*, A Li, M Zhu, L Cervino, H Veeraraghavan, J Jiang, E LoCastro, Memorial Sloan Kettering Cancer Center, New York, NY
SU-H430-IePD-F5-3	A Sensitivity Analysis On the Relationship Between Dose and Overlap Metrics for Head & Neck Normal Tissues B Marquez1,2*, C Owens1,2, K Huang1,2, M El Basha1,2, R Mumme2, C Nguyen2, C Peterson1,2, D Fuentes1,2, T Whitaker1,2, T Netherton1,2, L Court1,2,(1) University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, (2) MD Anderson Cancer Center, Houston, TX
TU-D1030-IePD-F2-5	An Independent Evaluation of Six Commercially Available Deep Learning-Based Auto Segmentation Platforms Using Large Multi- Institutional Datasets L Yuan1*, Q Chen2, Y Rong3, H Al-Hallaq4, S Benedict5, B Cai6, Q Wu7, K Latifi8, Y Xiao9, X Yang10, X Qi11, (1) Virginia Commonwealth University Medical Center, Richmond, Virginia, (2) City of Hope Medical Center, Duarte, CA, (3) Mayo Clinic Arizona, Phoenix, AZ, (4) The University of Chicago, Chicago, IL, (5) UC Davis Cancer Center, Davis, CA, (6) University of Texas Southwestern Medical Center, Clayton, MO, (7) Duke University Medical Center, Chapel Hill, NC, (8) H. Lee Moffitt Cancer Center, Tampa, FL, (9) University of Pennsylvania, Philadelphia, PA, (10) Emory University, Atlanta, GA, (11) UCLA School of Medicine, Los Angeles, CA
WE-G-BRC-4	Evaluation of Commercial AI Segmentation Software J Roper*, T Wang, Y Lei, S Dresser, B Ghavidel, L Qiu, J Zhou, O Kayode, K Luca, J Bradley, T Liu, X Yang, Emory University, Atlanta, GA