|
| Tuesday | TU-C930-GePD-F5-1 : Automatic Segmentation of Vertebrae Using Deep Learning and Generative Adversarial Networks
E.McKenzie*, A.Santhanam, K.Sheng |
|
| Tuesday | TU-C930-GePD-F5-2 : Convolutional Neural Networks for Fully Automatic Segmentation of Lung Tumors in CT Images
C.Owens*, C.Peterson, C.Tang, E.Koay, W.Yu, J.Li,
M.Salehpour, D.Fuentes, L.Court, J.Yang |
|
| Tuesday | TU-C930-GePD-F5-3 : Using Knowledge Based Planning to Determine Whether Geometric Variability in Segmentation Correlates with Dosimetric Variability
S.Berry*, C.Senra, R.Haq, H.Veeraraghavan |
|
| Tuesday | TU-C930-GePD-F5-4 : Automated Segmentation of Head and Neck Cancer Patients Using 3D U-Net
N.Tong*, S.Gou, K.Sheng |
|
| Tuesday | TU-C930-GePD-F5-5 : Automatic Localization and Segmentation of the Pancreas in Motion Artifact-Free CBCT Reconstructions Using Fully Convolutional Networks
P.Jordan*, A.Wang, J.Star-Lack, J.Van Heteren |
|
| Tuesday | TU-C930-GePD-F5-6 : 3D Ultrasound Prostate Segmentation Using 3D Deeply Supervised V-Net
X.Yang*, Y.Lei, S.Tian, T.Wang, A.Jani, W.Curran,
P.Patel, T.Liu |
