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On Improving Breast Density Segmentation Using Conditional Generative Adversarial Networks.

, , , , , and . CCIA, volume 308 of Frontiers in Artificial Intelligence and Applications, page 386-393. IOS Press, (2018)

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Breast Masses Identification through Pixel-Based Texture Classification., , , , , , and . Digital Mammography / IWDM, volume 8539 of Lecture Notes in Computer Science, page 581-588. Springer, (2014)Classification of Breast Cancer Molecular Subtypes from Their Micro-Texture in Mammograms Using a VGGNet-Based Convolutional Neural Network., , , , , , , , , and . CCIA, volume 300 of Frontiers in Artificial Intelligence and Applications, page 76-85. IOS Press, (2017)On Improving Breast Density Segmentation Using Conditional Generative Adversarial Networks., , , , , and . CCIA, volume 308 of Frontiers in Artificial Intelligence and Applications, page 386-393. IOS Press, (2018)Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification., , , , , , , , , and 2 other author(s). MICCAI (2), volume 11071 of Lecture Notes in Computer Science, page 833-840. Springer, (2018)Automatic Recognition of Molecular Subtypes of Breast Cancer in X-Ray images using Segmentation-based Fractal Texture Analysis., , , , and . CCIA, volume 277 of Frontiers in Artificial Intelligence and Applications, page 247-256. IOS Press, (2015)