Comparing different CT, PET and MRI multi-modality image combinations for deep learning-based head and neck tumor segmentation.
Journal:
Acta oncologica (Stockholm, Sweden)
Published Date:
Jul 15, 2021
Abstract
BACKGROUND: Manual delineation of gross tumor volume (GTV) is essential for radiotherapy treatment planning, but it is time-consuming and suffers inter-observer variability (IOV). In clinics, CT, PET, and MRI are used to inform delineation accuracy due to their different complementary characteristics. This study aimed to investigate deep learning to assist GTV delineation in head and neck squamous cell carcinoma (HNSCC) by comparing various modality combinations.