3 papers
cs.CV2024★ 1 cited
SAM-Swin: SAM-Driven Dual-Swin Transformers with Adaptive Lesion Enhancement for Laryngo-Pharyngeal Tumor Detection
Jia Wei, Yun Li, Xiaomao Fan +4
Laryngo-pharyngeal cancer (LPC) is a highly lethal malignancy in the head and neck region. Recent advancements in tumor detection, particularly through dual-branch network architec…
cs.CV2024
3D-LSPTM: An Automatic Framework with 3D-Large-Scale Pretrained Model for Laryngeal Cancer Detection Using Laryngoscopic Videos
Meiyu Qiu, Yun Li, Wenjun Huang +4
Laryngeal cancer is a malignant disease with a high morality rate in otorhinolaryngology, posing an significant threat to human health. Traditionally larygologists manually visual-…
cs.CV2024
SAM-FNet: SAM-Guided Fusion Network for Laryngo-Pharyngeal Tumor Detection
Jia Wei, Yun Li, Meiyu Qiu +3
Laryngo-pharyngeal cancer (LPC) is a highly fatal malignant disease affecting the head and neck region. Previous studies on endoscopic tumor detection, particularly those leveragin…