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Adaptive Sparsity Regularization Based Collaborative Clustering for Cancer Prognosis
Radiomic approaches have achieved promising performance in prediction of clinical outcomes of cancer patients. Particularly, feature dimensionality reduction plays an important role in radiomic studies. However, conventional feature dimensionality reduction techniques are not equipped to suppress da...
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| Publicado no: | Med Image Comput Comput Assist Interv |
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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/PMC7037828/ https://ncbi.nlm.nih.gov/pubmed/32095790 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-32251-9_64 |
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