Prostate Segmentation of Ultrasound Images Based on Interpretable-Guided Mathematical Model. - Tao Peng 013; Caiyin Tang; Jing Wang 022 (MMM (1), 2022)

H-SegMed: A Hybrid Method for Prostate Segmentation in TRUS Images via Improved Closed Principal Curve and Improved Enhanced Machine Learning. - Tao Peng 013; Caiyin Tang; Yiyun Wu; Jing Cai 001 (Int. J. Comput. Vis., 2022)

Automatic coarse-to-refinement-based ultrasound prostate segmentation using optimal polyline segment tracking method and deep learning. - Tao Peng 013; Daqiang Xu; Caiyin Tang; Jing Zhao; Yuntian Shen; Cong Yang; Jing Cai 001 (Appl. Intell., 2023)

Coarse-to-Fine Approach: Automatic Delineation of Kidney Ultrasound Data. - Tao Peng 013; Yiwen Ruan; Yidong Gu; Jiang Huang; Caiyin Tang; Jing Cai 001 (Big Data Min. Anal., 2024)

A multi-center study of ultrasound images using a fully automated segmentation architecture. - Tao Peng 013; Caishan Wang; Caiyin Tang; Yidong Gu; Jing Zhao; Quan Li; Jing Cai 001 (Pattern Recognit., 2024)

Automatic lymph node segmentation using deep parallel squeeze & excitation and attention Unet. - Zhaorui Liu; Hao Chen; Caiyin Tang; Quan Li; Tao Peng 013 (Multim. Syst., 2024)