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Fusion of FNA-cytology and Gene-expression Data Using Dempster-Shafer Theory of Evidence to Predict Breast Cancer Tumors
Decision-in decision-out fusion architecture can be used to fuse the outputs of multiple classifiers from different diagnostic sources. In this paper, Dempster-Shafer Theory (DST) has been used to fuse classification results of breast cancer data from two different sources: gene-expression patterns...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Biomedical Informatics Publishing Group
2006
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1891684/ https://www.ncbi.nlm.nih.gov/pubmed/17597882 |