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

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

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Denton E Morrison

Denton Lotz

Troy R E Paddock

Oliver E R Triebold

Monika R E Hohenauer

 

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A Statistical Approach for Breast Density Segmentation., , , , , , и . J. Digital Imaging, 23 (5): 527-537 (2010)Mammographic Ellipse Modelling Towards Birads Density Classification., , , и . Digital Mammography / IWDM, том 9699 из Lecture Notes in Computer Science, стр. 423-430. Springer, (2016)Classification of Microcalcification Clusters in Digital Mammograms Using a Stack Generalization Based Classifier., , и . J. Imaging, 5 (9): 76 (2019)Local feature based mammographic tissue pattern modelling and breast density classification., , и . BMEI, стр. 351-355. IEEE, (2011)Mammographic Ellipse Modelling for Risk Estimation., , и . MIUA, том 90 из Procedia Computer Science, стр. 163-168. Elsevier, (2016)Semantic Analysis on Medical Images: A Case Study., , и . ICPR (1), стр. 1260-1263. IEEE Computer Society, (2006)Automatic Segmentation of Microcalcification Clusters., , , и . MIUA, том 894 из Communications in Computer and Information Science, стр. 251-261. Springer, (2018)Voxel Similarity Measures for 3D Serial MR Brain Image Registration., , , , , , , и . IEEE Trans. Med. Imaging, 19 (2): 94-102 (2000)Bag of visual words based approach for the classification of benign and malignant masses in mammograms using voting-based feature encoding., , , и . IWBI, том 10718 из SPIE Proceedings, стр. 107181A. SPIE, (2018)Breast image pre-processing for mammographic tissue segmentation., , , , и . Comput. Biol. Medicine, (2015)