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An Analysis of Scale and Rotation Invariance in the Bag-of-Features Method for Histopathological Image Classification

The bag-of-features method has emerged as a useful and flexible tool that can capture medically relevant image characteristics. In this paper, we study the effect of scale and rotation invariance in the bag-of-features framework for Renal Cell Carcinoma subtype classification. We estimated the perfo...

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Publicat a:Med Image Comput Comput Assist Interv
Autors principals: Raza, S. Hussain, Parry, R. Mitchell, Moffitt, Richard A., Young, Andrew N., Wang, May D.
Format: Artigo
Idioma:Inglês
Publicat: 2011
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Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC5003046/
https://ncbi.nlm.nih.gov/pubmed/22003685
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