A transformer-guided cross-modality adaptive feature fusion framework for esophageal gross tumor volume segmentation
Article in Computer Methods and Programs in Biomedicine (May 2024)
The most recent citing publications are shown below. View all 5 publications that cite this research output on Dimensions.
Deep Learning for Automatic Gross Tumor Volumes Contouring in Esophageal Cancer Based on Contrast-Enhanced Computed Tomography Images: A Multi-Institutional Study
Article in International Journal of Radiation Oncology • Biology • Physics (March 2024)
Towards deep-learning (DL) based fully automated target delineation for rectal cancer neoadjuvant radiotherapy using a divide-and-conquer strategy: a study with multicenter blind and randomized validation
Article in Radiation Oncology (October 2023)