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Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Methods
Digital image-based signatures of breast tumors may ultimately contribute to the design of patient-specific breast cancer diagnostics and treatments. Beyond traditional human-engineered computer vision methods, tumor classification methods using transfer learning from deep convolutional neural netwo...
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| Publicado no: | Proc IEEE Inst Electr Electron Eng |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8152568/ https://ncbi.nlm.nih.gov/pubmed/34045769 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/jproc.2019.2950187 |
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