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DISEASE CLASSIFICATION AND PREDICTION VIA SEMI-SUPERVISED DIMENSIONALITY REDUCTION
We present a new semi-supervised algorithm for dimensionality reduction which exploits information of unlabeled data in order to improve the accuracy of image-based disease classification based on medical images. We perform dimensionality reduction by adopting the formalism of constrained matrix dec...
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| 發表在: | Proc IEEE Int Symp Biomed Imaging |
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| Main Authors: | , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
2011
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5466414/ https://ncbi.nlm.nih.gov/pubmed/28603581 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ISBI.2011.5872590 |
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