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Improving breast cancer classification with mammography, supported on an appropriate variable selection analysis.

, , and . Medical Imaging: Computer-Aided Diagnosis, volume 8670 of SPIE Proceedings, page 867022. SPIE, (2013)

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Improving the performance of machine learning classifiers for Breast Cancer diagnosis based on feature selection., , , , and . FedCSIS, page 209-217. (2014)Breast Cancer Diagnosis Based on a Suitable Combination of Deformable Models and Artificial Neural Networks Techniques., , , and . CIARP, volume 4756 of Lecture Notes in Computer Science, page 803-811. Springer, (2007)Kernels and partial line digraphs., and . Appl. Math. Lett., 23 (10): 1218-1220 (2010)Improving breast cancer classification with mammography, supported on an appropriate variable selection analysis., , and . Medical Imaging: Computer-Aided Diagnosis, volume 8670 of SPIE Proceedings, page 867022. SPIE, (2013)Development of a New Index to Evaluate Zooplanktons' Gonads: An Approach Based on a Suitable Combination of Deformable Models., , , , and . CIARP, volume 3773 of Lecture Notes in Computer Science, page 498-505. Springer, (2005)Set of Methods for Spontaneous ICH Segmentation and Tracking from CT Head Images., , , , and . CIARP, volume 4756 of Lecture Notes in Computer Science, page 212-220. Springer, (2007)Computer Aided Diagnosis System to Detect Breast Cancer Pathological Lesions., , , , and . CIARP, volume 5197 of Lecture Notes in Computer Science, page 453-460. Springer, (2008)Segmentation and Morphometry of Histological Sections Using Deformable Models: A New Tool for Evaluating Testicular Histopathology., , , , and . CIARP, volume 2905 of Lecture Notes in Computer Science, page 282-290. Springer, (2003)