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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 en: | Med Image Comput Comput Assist Interv |
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| Autores principales: | , , , , , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2019
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| Materias: | |
| Acceso en línea: | 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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