Automatic detection of multiple sclerosis lesions in brain magnetic resonance imaging using BIANCA
The aim of this work was to design and optimize a workflow to apply the Machine Learning classifier BIANCA (Brain Intensity AbNormalities Classification Algorithm) to detect lesions characterized by white matter T2 hyperintensity in clinical Magnetic Resonance Multiple Sclerosis datasets. The design...
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| Formato: | masterThesis |
| Idioma: | eng |
| Publicado em: |
2021
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| Texto completo: | http://hdl.handle.net/10773/30878 |
| País: | Portugal |
| Oai: | oai:ria.ua.pt:10773/30878 |