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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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Detalhes bibliográficos
Publicado no:J Signal Process Syst
Main Authors: Chaudry, Qaiser, Raza, Syed Hussain, Young, Andrew N., Wang, May D.
Formato: Artigo
Idioma:Inglês
Publicado em: 2008
Assuntos:
Acesso em linha: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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