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An integrated framework for breast mass classification and diagnosis using stacked ensemble of residual neural networks
A computer-aided diagnosis (CAD) system requires automated stages of tumor detection, segmentation, and classification that are integrated sequentially into one framework to assist the radiologists with a final diagnosis decision. In this paper, we introduce the final step of breast mass classificat...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9293883/ https://www.ncbi.nlm.nih.gov/pubmed/35851592 http://dx.doi.org/10.1038/s41598-022-15632-6 |