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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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Dades bibliogràfiques
Publicat a:Proc IEEE Int Symp Biomed Imaging
Autors principals: Batmanghelich, Kayhan N., Ye, Dong H., Pohl, Kilian M., Taskar, Ben, Davatzikos, Christos
Format: Artigo
Idioma:Inglês
Publicat: 2011
Matèries:
Accés en línia: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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