Dingcheng Tian

According to our database, Dingcheng Tian authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

EFE-HCTNet: An edge feature enhanced hybrid CNN-transformer network for the automated identification of nerves in ultrasound images.

Dingcheng Tian, Binbin Zhu, Lingsi Kong, Jianlin Wang, Yu Wang, Ruyi Zhang, Qi Zhao, Yudong Yao

Knowl. Based Syst., 2026

Bilateral lightweight network for left ventricle segmentation in two-dimensional echocardiography.

Yaqi Zhu, Changchun Xiong, Dingcheng Tian, Like Qian, Heng Zhao, Yudong Yao

Biomed. Signal Process. Control., 2026

2024

A review of traditional Chinese medicine diagnosis using machine learning: Inspection, auscultation-olfaction, inquiry, and palpation.

Dingcheng Tian, Weihao Chen, Dechao Xu, Lisheng Xu, Gang Xu, Yaochen Guo, Yudong Yao

Comput. Biol. Medicine, March, 2024

Cobb Angle Measurement Based on Spine Segmentation Using ATT UNet 3+.

Liang Peng, Yiwei Hu, Kai Zhang, Guanhua Lan, Ruyi Zhang, Dingcheng Tian, Dechao Xu, Yabin Zhu, Yudong Yao

IEEE Access, 2024

2023

MSCA-UNet: Multi-Scale Convolutional Attention UNet for Automatic Cell Counting Using Density Regression.

Like Qian, Wei Qian, Dingcheng Tian, Yaqi Zhu, Heng Zhao, Yudong Yao

IEEE Access, 2023

CT Lung Nodule Segmentation: A Comparative Study of Data Preprocessing and Deep Learning Models.

Weihao Chen, Yu Wang, Dingcheng Tian, Yudong Yao

IEEE Access, 2023

2022

Brachial Plexus Nerve Trunk Segmentation Using Deep Learning: A Comparative Study with Doctors' Manual Segmentation.

Yu Wang, Binbin Zhu, Lingsi Kong, Jianlin Wang, Bin Gao, Jianhua Wang, Dingcheng Tian, Yudong Yao

CoRR, 2022

A Survey of Wound Image Analysis Using Deep Learning: Classification, Detection, and Segmentation.

Ruyi Zhang, Dingcheng Tian, Dechao Xu, Wei Qian, Yudong Yao

IEEE Access, 2022

Brachial Plexus Nerve Trunk Recognition From Ultrasound Images: A Comparative Study of Deep Learning Models.

Dingcheng Tian, Binbin Zhu, Jianlin Wang, Lingsi Kong, Bin Gao, Yu Wang, Dechao Xu, Ruyi Zhang, Yudong Yao

IEEE Access, 2022