Work

TPFIANet: Three path feature progressive interactive attention learning network for medical image segmentation

Year: 2025

Type: article

Source: Knowledge-Based Systems

DOI: 10.1016/j.knosys.2025.113778

Authors: Yawu Zhao, Shudong Wang, Shudong Wang, Yande Ren, Jiehuan Wang, Shaoqiang Wang, Shaoqiang Wang, Sibo Qiao, Tiyao Liu, Shanchen Pang

Institutions: China University of Petroleum, East China, Qingdao University of Technology, Affiliated Hospital of Qingdao University, Affiliated Hospital of Jining Medical University, Tiangong University

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Natural Science Foundation of China, Key Technologies Research and Development Program, National Key Research and Development Program of China

Awards: G2124118506, G5048209427, G8259169517

OpenAlex ID: W4410857490

FWCI: 4.329

Cites: 40

Cited by: 12

Related to: 10