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The use of a priori information in the detection of mammographic microcalcifications to improve their classification.
Radial gradient-based segmentation of mammographic microcalcifications: observer evaluation and effect on CAD performance.
Relevance vector machine for automatic detection of clustered microcalcifications.
Identification of simulated microcalcifications in white noise and mammographic backgrounds.
A similarity learning approach to content-based image retrieval: application to digital mammography.
A study on several machine-learning methods for classification of malignant and benign clustered microcalcifications.