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...

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Detalles Bibliográficos
Autores principales: Raza, Mansoor, Gondal, Iqbal, Green, David, Coppel, Ross L
Formato: Texto
Lenguaje:English
Publicado: Biomedical Informatics Publishing Group 2006
Materias:
Hypothesis
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1891684/
https://www.ncbi.nlm.nih.gov/pubmed/17597882

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1891684/
https://www.ncbi.nlm.nih.gov/pubmed/17597882

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