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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
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 |
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