… Automatic segmentation of the primary tumor effectively utilizing the synergistic information
from the PET and CT together is an unmet need to decrease the work-load of tumor …

… Manual annotations in 3D are tedious and error-prone, and the automatic tumor segmentation
is … of using automatic segmentation for radiomics studies, we will compare the automatic …

… for automatic segmentation of primary tumors … automated methods for tumor and lymph
node segmentation. It highlights the robustness of state-of-the-art machine learning segmentation …

… automatic NPC segmentation in MRI, that is, we intend to develop a model that can solve the
boundary ambiguity problem and improve the segmentation … propose an automatic network …

… In this work, we presented a fully automated segmentation model for head and neck tumor
segmentation from PET and CT images. Our SA-Net replaces the long-range skip connections …

… After 2016, massive research efforts have been devoted to develop DL algorithms for
automated segmentation of tumors of head and neck region from MR images, continuing to date. …

… Treatment planning would benefit from automatic … automatic segmentation of the primary
tumor and prediction of patient outcome. Building upon the success of tumor segmentation in …

… neck, 16-19 thoracic cavity, 20-23 abdomen, 24-26 and pelvis. Studies have shown that for
auto-segmentation of OARs in head and neck … artery and includes the primary tumor, uterus, …

… had a T4a tumor in this study. This patient had much more aggressive tumor invasion than
others, … a T4 tumor while all the test cases had T1, T2, or T3 tumors. These results indicate that …

… with a brain tumor or head and neck cancer who underwent … total of 110 head and neck
cancer patients at Yonsei Cancer … (TPs) to be auto segmented by “Atlas Segmentation” with …