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Prediction of Upstaged Ductal Carcinoma In Situ Using Forced Labeling and Domain Adaptation.
OBJECTIVE: The goal of this study is to use adjunctive classes to improve a predictive model whose performance is limited by the common problems of small numbers of primary cases, high feature dimensionality, and poor class separability. Specifically, our clinical task is to use mammographic feature...
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| Publicado no: | IEEE Trans Biomed 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/PMC7757748/ https://ncbi.nlm.nih.gov/pubmed/31502960 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TBME.2019.2940195 |
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