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Handling Imbalanced Medical Image Data: A Deep-Learning-Based One-Class Classification Approach
In clinical settings, a lot of medical image datasets suffer from the imbalance problem which hampers the detection of outliers (rare health care events), as most classification methods assume an equal occurrence of classes. In this way, identifying outliers in imbalanced datasets has become a cruci...
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| Publicat a: | Artif Intell Med |
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| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7519174/ https://ncbi.nlm.nih.gov/pubmed/32972664 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.artmed.2020.101935 |
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