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Convolutional Neural Network for Automated FLAIR Lesion Segmentation on Clinical Brain MR Imaging
BACKGROUND AND PURPOSE: Most brain lesions are characterized by hyperintense signal on FLAIR. We sought to develop an automated deep learning–based method for segmentation of abnormalities on FLAIR and volumetric quantification on clinical brain MRIs across many pathologic entities and scanning para...
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| Publicado no: | AJNR Am J Neuroradiol |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Society of Neuroradiology
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6697209/ https://ncbi.nlm.nih.gov/pubmed/31345943 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3174/ajnr.A6138 |
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