Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Segmentation of compacted and non compacted left ventricular mass with a semi-automatic method
por: Bricq, Stéphanie, et al.
Publicado: (2015) -
Evaluation of trabeculated mass in patient with non compaction: do we need criteria reappraisal?
por: Frandon, Julien, et al.
Publicado: (2016) -
Transgenic mice with mutations in Nkx2.5 gene: animal model proposal to study non compaction
por: Frandon, Julien, et al.
Publicado: (2016) -
GANs for Medical Image Synthesis: An Empirical Study
por: Skandarani, Youssef, et al.
Publicado: (2023) -
Semi-automatic detection of myocardial trabeculation using cardiovascular magnetic resonance: correlation with histology and reproducibility in a mouse model of non-compaction
por: Frandon, Julien, et al.
Publicado: (2018)