Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis

The Sørensen-Dice index (SDI) is a widely used measure for evaluating medical image segmentation algorithms. It offers a standardized measure of segmentation accuracy which has proven useful. However, it offers diminishing insight when the number of objects is unknown, such as in white matter lesion...

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Detalles Bibliográficos
Autores principales: Carass, Aaron, Roy, Snehashis, Gherman, Adrian, Reinhold, Jacob C., Jesson, Andrew, Arbel, Tal, Maier, Oskar, Handels, Heinz, Ghafoorian, Mohsen, Platel, Bram, Birenbaum, Ariel, Greenspan, Hayit, Pham, Dzung L., Crainiceanu, Ciprian M., Calabresi, Peter A., Prince, Jerry L., Roncal, William R. Gray, Shinohara, Russell T., Oguz, Ipek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7237671/
https://www.ncbi.nlm.nih.gov/pubmed/32427874
http://dx.doi.org/10.1038/s41598-020-64803-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7237671/
https://www.ncbi.nlm.nih.gov/pubmed/32427874
http://dx.doi.org/10.1038/s41598-020-64803-w

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