A novel lung nodule accurate detection of computerized tomography images based on convolutional neural network and probability graph model. - Xunpeng Xia; Rongfu Zhang; Xufeng Yao; Gang Huang; Tiequn Tang (Comput. Intell., 2022)

Fully automated segmentation of pneumonia infection based on Probabilistic Graphical Model and U-Net blend network. - Xunpeng Xia; Rongfu Zhang; Xufeng Yao; Gang Huang; Tiequn Tang (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022)

Improved Complementary Pulmonary Nodule Segmentation Model Based on Multi-Feature Fusion. - Tiequn Tang; Feng Li; Minshan Jiang; Xunpeng Xia; Rongfu Zhang; Kailin Lin (Entropy, 2022)

SM-RNet: A Scale-Aware-Based Multiattention-Guided Reverse Network for Pulmonary Nodules Segmentation. - Tiequn Tang; Rongfu Zhang; Kailin Lin; Feng Li 056; Xunpeng Xia (IEEE Trans. Instrum. Meas., 2023)

A Multi-Task Model for Pulmonary Nodule Segmentation and Classification. - Tiequn Tang; Rongfu Zhang (J. Imaging, 2024)