Work

Automated Segmentation of Mouse Brain Images Using Multi-Atlas Multi-ROI Deformation and Label Fusion

Year: 2012

Type: article

Source: Neuroinformatics

DOI: 10.1007/s12021-012-9163-0

Authors: Jingxin Nie, Dinggang Shen

Institution: University of North Carolina at Chapel Hill

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: green

Funders: National Institute on Aging, National Institute of Mental Health, National Cancer Institute, National Institute of Biomedical Imaging and Bioengineering

Awards: Neonatal Brain Segmentation, G2686953907, G3258782064, Online Collection of Patient-Specific Information for Daily Prostate Segmentation, G4798393751, Quantifying Brain Abnormality by Multimodality Neuroimage Analysis, Longitudinal Mapping of Human Brain Development in the First Years of Life, Fast, Robust Analysis of Large Population Data, G662034047, Development of Robust Brain Measurement Tools Informed by Ultrahigh Field 7T MRI, G93323634

OpenAlex ID: W1972350517

FWCI: 1.976

Cites: 36

Cited by: 27

Related to: 10