Work

Semi-supervised coronary artery segmentation based on latent information cross-supervision

Year: 2025

Type: article

Source: Biomedical Signal Processing and Control

DOI: 10.1016/j.bspc.2025.109182

Authors: Yue Zhang, Fuzhi Wu, Chen Zhang, Guanyu Yang, Pascal Haigron, Jean-Louis Coatrieux, Huazhong Shu

Institutions: Southeast University, Yangzhou University, Nanjing Forestry University, Inserm, Université de Rennes, Laboratoire Traitement du Signal et de l'Image

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, Ministry of Science and Technology of the People's Republic of China, Young Scientists Fund, National Key Research and Development Program of China

Awards: G6651252614, G7937483951, G8445935974

OpenAlex ID: W4416266274

FWCI: 0.473

Cites: 53

Cited by: 2

Related to: 10