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)...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Research Articles
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

Internet

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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