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Taxonomy: IM/TH- image Segmentation: CT

PO-GePV-M-4	Automatic Contouring QA Approach Using a Deep-Learning-Based Auto-Contouring System D Rhee1*, C Anakwenze1, B Rigaud1, A Jhingran1, C Cardenas1, L Zhang1, S Prajapati1, S Kry1, K Brock1, B Beadle2, W Shaw3, D O'reilly3, J Parkes4, H Burger4, N Fakie4, C Trauernicht5, H Simonds5, L Court1, (1) University of Texas MD Anderson Cancer Center, Houston, TX, (2) Stanford University, Stanford, CA, (3) University Of The Free State, Bloemfontein, ZA, (4) University Of Cape Town, Cape Town, ZA, (5) Stellenbosch University, Stellenbosch, ZA,
PO-GePV-M-5	Radiation Induced Lung Damage Tissue Segmentation and Classification Framework A Szmul1*, E Chandy1,4, C Veiga1, A Stavropoulou1, J Jacob1,2, D Landau3, C Hiley4, J McClelland1, (1) Centre for Medical Image Computing, University College London, London, UK, (2) Department of Respiratory Medicine, University College London, London, UK, (3) Guys & St Thomas NHS Foundation Trust, London, UK, (4) Cancer Institute, UCL, London, UK
PO-GePV-M-7	Performance of a Convolutional Neural Network-Based Algorithm for Automatic Segmentation of the Whole Heart in Non-Contrast Radiotherapy Planning CTs with Image Artifacts D Mehta1*, B Park2, J Jung3, M Mille4, B Ky5, W Kenworthy6, C Lee7, Y Yeom8, W Bosch9, S MacDonald10, O Cahlon11, J Bekelman12, C Lee13, (1) East Carolina University, (2) East Carolina University, (3) East Carolina University, Greenville, NC, (4) National Cancer Institute, Bethesda, MD, (5) University of Pennsylvania, Philadelphia, PA, (6) University of Pennsylvania, Philadelphia, PA, (7) University of Michigan, Ann Arbor, MI, (8) National Cancer Institute, Rockville, MD, (9) Washington University, Saint Louis, MO, (10) (11) New York, NY, (12) University of Penn, Philadelphia, PA, (13) National Cancer Institute, Rockville, MD
PO-GePV-M-164	Auto-Segmentation of Organs at Risk for CT Thoracic Cases: A Single Institution's Experience D Darkow1*, B Lee1, J Seger-Paisley2, R Woods2, U Duong2, A Houser2, J Paisley2, 3, M Butler1, A Kruzer1, A Nelson1, (1) MIM Software Inc. (2) New Hanover Regional Medical Center (3) Coastal Carolina Radiation Oncology
PO-GePV-M-243	Multi-Scale Deep Learning CT Liver and Spleen Segmentation Network for Radiation-Induced Toxicity Outcomes Analysis R Haq*, I Onochie, A Apte, M Thor, J Deasy, Memorial Sloan-Kettering Cancer Center, New York, NY
SU-IePD-TRACK 1-4	Wavelet U-Net: Incorporating Wavelet Transform Into U-Net for Liver Segmentation J Chang*, C Chang, California Protons Cancer Therapy Center / UCSD, San Diego, CA
SU-IePD-TRACK 3-1	Quantitative and Qualitative Evaluation of Translating An Adult Auto-Contouring Algorithm to Pediatric Patients S Hernandez*1,2, L Court1,2, D Rhee1,2, M Soliman2, C Cardenas1,2, (1) UT MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, (2) The University of Texas MD Anderson Cancer Center, Houston, TX
SU-IePD-TRACK 3-5	Automated CTV Contouring for Prostate and Nodes Utilizing Deep Learning Contouring V Malesevic*, L Potters, A C Riegel, Y Cao, J Baker, Northwell Health and Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Lake Success, New York
TH-IePD-TRACK 3-7	Auto-Segmentation of Important Centers of Growth in the Pediatric Skeleton to Consider During Radiation Therapy Based On Deep Learning W Qiu1*, W Zhang2, X Ma1, Q Zhou2, J Zhu1, (1) Department of Radiation Oncology Physics and Technology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Ji'nan, P.R. China, Jinan, Shangdong province, CN, (2) Manteia Medical Technologies, Milwaukee.
TU-E-TRACK 6-4	Multi-Organ Auto-Segmentation of Abdominal Structures From Contrast-Enhanced and Non-Contrast-Enhanced CT Images C Yu1,2*, C Anakwenze2, Y Zhao1,2, R Martin2, J Niedzielski5, E Ludmir2, J Yang1,2, L Court1,2, C Cardenas1,2, (1) University of Texas MD Anderson UTHealth Graduate School of Biomedical Sciences, (2) University of Texas MD Anderson Cancer Center, Houston, TX
TU-F-TRACK 6-2	Automatic Segmentation and Physician Review of Intact and Post-Operative Prostate Radiotherapy Contours M El Basha1,2*, D Fuentes1,2, J Pollard-Larkin1,2, F Poenisch2, Z Yu1,2, S Frank2, C Tang2, A Aggarwal3, L Court1,2, C Cardenas1,2, (1) UT MD Anderson UT Health Graduate School of Biomedical Sciences, Houston, TX, (2) University of Texas MD Anderson Cancer Center, Houston, TX, (3) Guy's and St. Thomas' NHS Foundation Trust, London, UK
TU-F-TRACK 6-4	Auto-Segmentation of Organs-At-Risk in Head and Neck CT Images with Dual Shape Guided Network S Wang*, T Yanagihara, B Chera, C Shen, P Yap, J Lian, UNC at Chapel Hill, Chapel Hill, NC
TU-IePD-TRACK 4-4	Improving Deep Learning Auto-Segmentation Using An Adaptive Spatial Resolution Approach A Amjad1*, J Xu2, D Thill2, M Awan1, M Shukla1, W Hall1, B Erickson1, X Li1, (1) Medical College of Wisconsin, Milwaukee, WI, (2) Elekta Inc., MO, USA