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Taxonomy: IM/TH- image Segmentation: General (Most aspects)

PO-GePV-M-257A Deep Learning-Based Physician-Specific OAR Segmentation Framework for Radiotherapy Treatment Planning
Y Chen*, L Xing, L Yu, N Panjwani, J Obeid, M Gensheimer, H Bagshaw, M Buyyounouski, N Kovalchuk, B Han, Stanford University School of Medicine, Stanford, CA
PO-GePV-T-439Evaluation of A New Method to Measure Colony Growth In-Vitro
R Holden*, J Park, A Lynnette Price, D Dunn, S Floyd, M Oldham, Duke University Medical Center, Durham, NC
TH-E-TRACK 4-5Small Convolutional Neural Networks for Efficient 3D Medical Image Segmentation
A Celaya1, J Actor1,2, R Muthusivarajan1, E Gates1*, C Chung1, D Schellingerhout1, B Riviere2, D Fuentes1, (1) University Of Texas Md Anderson Cancer Center, Houston, TX, (2) Rice University, Houston, TX
TU-IePD-TRACK 4-6Deploying Deep Learning-Based Image Segmentation Models Via CERR
A Iyer*, E LoCastro, J Deasy, A Apte, Memorial Sloan-Kettering Cancer Center, New York, NY
WE-D-TRACK 1-1Towards Contour Quality Assurance of Cardiac Structures with Automatic Segmentation
C Uche1, H Geng2, J Yu3, E Gore4, Y Xiao5, (1) University of Pennsylvania, Philadelphia, PA, (2) University Of Pennsylvania, Philadelphia, PA,(3) NRG Oncology Statistics and Data Management Center, Philadelphia, PA,(4) Medical College of Wisconsin, Milwaukee, Wisconsin,(5) University of Pennsylvania, Philadelphia, PA