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Addressing Image Variability While Learning Classifiers for Detecting Clusters of Micro-calcifications.

, , , , , , and . Digital Mammography / IWDM, volume 4046 of Lecture Notes in Computer Science, page 84-91. Springer, (2006)

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Addressing Image Variability While Learning Classifiers for Detecting Clusters of Micro-calcifications., , , , , , and . Digital Mammography / IWDM, volume 4046 of Lecture Notes in Computer Science, page 84-91. Springer, (2006)Multiple-Instance Learning Improves CAD Detection of Masses in Digital Mammography., , , , , , , , , and . Digital Mammography / IWDM, volume 5116 of Lecture Notes in Computer Science, page 350-357. Springer, (2008)Optimizing the CAD Process for Detecting Mammographic Lesions by a New Generation Algorithm Using Linear Classifiers and a Gradient Based Approach., , , , , and . Digital Mammography / IWDM, volume 5116 of Lecture Notes in Computer Science, page 358-365. Springer, (2008)Does a Mammography CAD Algorithm with Varying Filtering Levels of Detection Marks, Used to Reduce the False Mark Rate, Adversely Affect the Detection of Small Masses?., , , , , , and . Digital Mammography / IWDM, volume 5116 of Lecture Notes in Computer Science, page 504-509. Springer, (2008)Computerized Classification Can Reduce Unnecessary Biopsies in BI-RADS Category 4A Lesions., , , , , and . Digital Mammography / IWDM, volume 4046 of Lecture Notes in Computer Science, page 76-83. Springer, (2006)