RTS-Net: Thyroid Ultrasound Nodule Segmentation Data for Model Training
RTS-Net is a deep learning model for thyroid nodule segmentation in ultrasound images, achieving an 81.66% F1-score on the TN3K dataset. The model integrates dual-path attention and graph convolution, and was trained on TN3K, DDTI, and a large-scale clinical dataset. The dataset, authored by Xiaojie Sun, was last updated on April 13, 2026.