Automatic classification of tissues on pelvic MRI based on relaxation times and support vector machine

Tissue segmentation and classification in MRI is a challenging task due to a lack of signal intensity standardization. MRI signal is dependent on the acquisition protocol, the coil profile, the scanner type, etc. While we can compute quantitative physical tissue properties independent of the hardwar...

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Detalles Bibliográficos
Autores principales: Zavala Bojorquez, Jorge Arturo, Jodoin, Pierre-Marc, Bricq, Stéphanie, Walker, Paul Michael, Brunotte, François, Lalande, Alain
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386287/
https://www.ncbi.nlm.nih.gov/pubmed/30794559
http://dx.doi.org/10.1371/journal.pone.0211944

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386287/
https://www.ncbi.nlm.nih.gov/pubmed/30794559
http://dx.doi.org/10.1371/journal.pone.0211944

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