Work

Unsupervised tissue segmentation from dynamic contrast-enhanced magnetic resonance imaging

Year: 2014

Type: article

Source: Artificial Intelligence in Medicine

DOI: 10.1016/j.artmed.2014.02.001

Authors: Gabriele Chiusano, Alessandra Staglianò, Curzio Basso, Alessandro Verri

Institutions: University of Genoa, Camelot Biomedical Systems (Italy)

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

OpenAlex ID: W1967494366

FWCI: 0.226

Cites: 48

Cited by: 3

Related to: 10