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Radiomics based likelihood functions for cancer diagnosis
Radiomic features based classifiers and neural networks have shown promising results in tumor classification. The classification performance can be further improved greatly by exploring and incorporating the discriminative features towards cancer into mathematical models. In this research work, we h...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603029/ https://www.ncbi.nlm.nih.gov/pubmed/31263186 http://dx.doi.org/10.1038/s41598-019-45053-x |