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Mammographic Images

This study explores the segmentation of breast regions in mammographic images, focusing on local features and appearance models. Utilizing clustering and dictionary techniques, we aim to enhance breast tissue labeling and improve region segmentation. By analyzing mammographic data, we extract critical features that contribute to accurate classification and diagnosis of breast tissues. This method holds promise for increasing the reliability of mammogram interpretations and advancing breast cancer detection technologies.

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Mammographic Images

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  1. Mammographic Images Segmented Breast Regions Local Features Appearance Models Clustering Dictionary Breast Tissue Labelling Breast Region Segmentation Feature Extraction

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