A transformer-based multi-task deep learning model for simultaneous T-stage identification and segmentation of nasopharyngeal carcinoma
Kaifan Yang,
Xiuyu Dong,
Fan Tang
et al.
Abstract:BackgroundAccurate tumor target contouring and T staging are vital for precision radiation therapy in nasopharyngeal carcinoma (NPC). Identifying T-stage and contouring the Gross tumor volume (GTV) manually is a laborious and highly time-consuming process. Previous deep learning-based studies have mainly been focused on tumor segmentation, and few studies have specifically addressed the tumor staging of NPC.ObjectivesTo bridge this gap, we aim to devise a model that can simultaneously identify T-stage and perf… Show more
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