Automatic brain tissue segmentation in MR images using Random Forests and Conditional Random Fields
Background: The segmentation of brain tissue into cerebrospinal fluid, gray matter, and white matter in magnetic resonance imaging scans is an important procedure to extract regions of interest for quantitative analysis and disease assessment. Manual segmentation requires skilled experts, being a la...
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| Outros Autores: | , , , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2016
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/1822/53096 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/53096 |