Automated Segmentation of Sacral Chordoma and Surrounding Muscles Using Deep Learning Ensemble.
Journal:
International journal of radiation oncology, biology, physics
Published Date:
Jul 13, 2023
Abstract
PURPOSE: The manual segmentation of organ structures in radiation oncology treatment planning is a time-consuming and highly skilled task, particularly when treating rare tumors like sacral chordomas. This study evaluates the performance of automated deep learning (DL) models in accurately segmenting the gross tumor volume (GTV) and surrounding muscle structures of sacral chordomas.