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Mammographic image segmentation and risk classification based on mammographic parenchymal patterns and geometric moments.

, , , and . Biomed. Signal Process. Control., 6 (3): 321-329 (2011)

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A Novel Breast Image Preprocessing For Full Field Digital Mammographic Segmentation and Risk Classification., , , , , and . MIUA, page 79-84. BMVA, (2014)Mammographic Segmentation Based on Texture Modelling of Tabár Mammographic Building Blocks., , , and . Digital Mammography / IWDM, volume 5116 of Lecture Notes in Computer Science, page 17-24. Springer, (2008)Robust Adaptive-weighting Multi-view Classification., , , , , and . CIKM, page 3117-3121. ACM, (2021)A Hybrid Deep Learning Model for Emotion Detection in Emotion-sensitive Robo-advisors., and . IDSTA, page 93-98. IEEE, (2021)Depth-of-Field-Extended Plenoptic Camera Based on Tunable Multi-Focus Liquid-Crystal Microlens Array., , , , , , , and . Sensors, 20 (15): 4142 (2020)Hybrid Filter-wrapper Feature Selection Using Water Wave Optimization for Financial Crisis Prediction in Enterprises., , , and . ISKE, page 193-199. IEEE, (2021)Mammographic Segmentation and Density Classification: A Fractal Inspired Approach., , , , and . Digital Mammography / IWDM, volume 9699 of Lecture Notes in Computer Science, page 359-366. Springer, (2016)Mammographic Image Segmentation and Risk Classification Using a Novel Texture Signature Based Methodology., , and . Digital Mammography / IWDM, volume 6136 of Lecture Notes in Computer Science, page 526-533. Springer, (2010)Mammographic image segmentation and risk classification based on mammographic parenchymal patterns and geometric moments., , , and . Biomed. Signal Process. Control., 6 (3): 321-329 (2011)Image classification: A novel texture signature approach., and . ICIP, page 2725-2728. IEEE, (2010)