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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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| I publikationen: | Med Image Comput Comput Assist Interv |
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| Huvudupphovsmän: | , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2011
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5003046/ https://ncbi.nlm.nih.gov/pubmed/22003685 |
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