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Methods and Materials: We collected 606 esophageal cancer patients from four institutions. 252 institution-1 patients had a treatment planning-CT (pCT) and a pair of diagnostic FDG-PETCT; 354 patients ... The current clinical workflow for esophageal gross tumor volume (GTV) contouring relies on manual delineation of high labor-costs and interuser variability. ... Fig. 2 . 2 The two-streamed 3D deep learning model for esophageal gross tumor volume (GTV) segmentation using treatment planning CT (pCT) and FDG-PET/CT scans. pCT stream takes the pCT as input and produces ...arXiv:2110.05280v1 fatcat:6m3wszhpqzdbpc2p7dvlels4je
In this work we propose a novel, automated and highly effective stratified OAR segmentation (SOARS) system using deep learning to precisely delineate a comprehensive set of 42 H&N OARs. ... It consistently outperformed other state-of-the-art methods by at least 3-5% in Dice score for each institutional evaluation (up to 36% relative error reduction in other metrics). ... Acknowledgements This work is partially supported by Maintenance Project of the Center for Artificial Intelligence in Medicine (Grant CLRPG3H0012, CMRPG3K1091, SMRPG3I0011) at Chang Gung Memorial Hospital ...arXiv:2111.01544v1 fatcat:unplp6vjrrejvpq5oifedz27ci
Clinical target volume (CTV) is defined as the gross tumor and intraductal component detected by MRI images. ... Three-field C-ion beams with 290 MeV/n energy are used by means of passive broad beam methods using individual collimators and a compensation bolus absorber. ... Fusion of PETCT with Planning CT permits to reduce the planning target volume according to the activity of the tumor rather than to define the volumes with anatomy only. ...pmid:29296417 pmcid:PMC5675491 fatcat:sinmyjrj2zca3dhfhecxr32tlm