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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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| Veröffentlicht in: | PLoS One |
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| Hauptverfasser: | , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6386287/ https://ncbi.nlm.nih.gov/pubmed/30794559 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0211944 |
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