An optimal brain tumor segmentation algorithm for clinical MRI dataset with low resolution and non-contiguous slices
Abstract Background Segmenting brain tumor and its constituent regions from magnetic resonance images (MRI) is important for planning diagnosis and treatment. In clinical routine often an experienced radiologist delineates the tumor regions using multimodal MRI. But this manual segmentation is prone...
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| Hoofdauteurs: | , , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
BMC
2022-05-01
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| Reeks: | BMC Medical Imaging |
| Onderwerpen: | |
| Online toegang: | https://doi.org/10.1186/s12880-022-00812-7 |
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