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Automated Renal Cell Carcinoma Subtype Classification Using Morphological, Textural and Wavelets Based Features
We present a new image quantification and classification method for improved pathological diagnosis of human renal cell carcinoma. This method combines different feature extraction methodologies, and is designed to provide consistent clinical results even in the presence of tissue structural heterog...
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| Publicado en: | J Signal Process Syst |
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| Autores principales: | , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2008
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5267341/ https://ncbi.nlm.nih.gov/pubmed/28133502 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11265-008-0214-6 |
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