Work

Confidence-Guided Sequential Label Fusion for Multi-atlas Based Segmentation

Year: 2011

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-642-23626-6_79

Authors: Daoqiang Zhang, Guorong Wu, Hongjun Jia, Dinggang Shen

Institutions: University of North Carolina at Chapel Hill, Nanjing University of Aeronautics and Astronautics

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: National Natural Science Foundation of China, National Institutes of Health, National Institute of Mental Health, National Institute of Biomedical Imaging and Bioengineering

Awards: G1600120695, G1610907132, G1761222865, Neonatal Brain Segmentation, G2686953907, G3258782064, G4798393751, Longitudinal Mapping of Human Brain Development in the First Years of Life, G5273691721, Fast, Robust Analysis of Large Population Data, G6748413423, Development of Robust Brain Measurement Tools Informed by Ultrahigh Field 7T MRI, G9000040056, G9000104217, G9000184678

OpenAlex ID: W100297134

FWCI: 1.672

Cites: 12

Cited by: 18

Related to: 10