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Multiple sclerosis cortical lesion detection with deep learning at ultra‐high‐field MRI
Manually segmenting multiple sclerosis (MS) cortical lesions (CLs) is extremely time consuming, and past studies have shown only moderate inter‐rater reliability. To accelerate this task, we developed a deep‐learning‐based framework (CLAIMS: Cortical Lesion AI‐Based Assessment in Multiple Sclerosis)...
Autores principales: | La Rosa, Francesco, Beck, Erin S., Maranzano, Josefina, Todea, Ramona‐Alexandra, van Gelderen, Peter, de Zwart, Jacco A., Luciano, Nicholas J., Duyn, Jeff H., Thiran, Jean‐Philippe, Granziera, Cristina, Reich, Daniel S., Sati, Pascal, Bach Cuadra, Meritxell |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9539569/ https://www.ncbi.nlm.nih.gov/pubmed/35297114 http://dx.doi.org/10.1002/nbm.4730 |
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