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Large-scale computations on histology images reveal grade-differentiating parameters for breast cancer
242
Zitationen
5
Autoren
2006
Jahr
Abstract
The automated image analysis and classification presented in this study demonstrate the feasibility of developing clinically relevant classification of histology images based on micro- texture. This method provides pathologists an invaluable quantitative tool for evaluation of the components of the Nottingham system for breast tumor grading and avoid intra-observer variability thus increasing the consistency of the decision-making process.
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