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Interpreting SVM for medical images using Quadtree
In this paper, we propose a quadtree based approach to capture the spatial information of medical images for explaining nonlinear SVM prediction. In medical image classification, interpretability becomes important to understand why the adopted model works. Explaining an SVM prediction is difficult d...
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| Publicat a: | Multimed Tools Appl |
|---|---|
| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Springer US
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7417748/ https://ncbi.nlm.nih.gov/pubmed/32837249 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11042-020-09431-2 |
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