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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)

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Classification of textures seen from different distances and under varying illumination direction., , and . ICIP (1), page 833-836. (2003)Automatic Diagnosis of Masses by Using Level set Segmentation and Shape Description., , , and . ICPR, page 2528-2531. IEEE Computer Society, (2010)Simultaneous surface texture classification and illumination tilt angle prediction., , , , and . BMVC, page 1-10. BMVA Press, (2003)ST-HASSET for volcanic hazard assessment: A Python tool for evaluating the evolution of unrest indicators., , and . Computers & Geosciences, (2016)Similarity Metrics for Intensity-Based Registration Using Breast Density Maps., , , , , , and . IbPRIA, volume 10255 of Lecture Notes in Computer Science, page 217-225. Springer, (2017)Active Region Segmentation of Mammographic Masses Based on Texture, Contour and Shape Features., , , and . IbPRIA, volume 2652 of Lecture Notes in Computer Science, page 478-485. Springer, (2003)On the Detection of Regions-of-Interest in Dynamic Contrast-Enhanced MRI., , , and . IbPRIA (1), volume 4477 of Lecture Notes in Computer Science, page 129-136. Springer, (2007)Integration of Strategies Based on Relevance Feedback into a Tool for the Retrieval of Mammographic Images., , , and . IDEAL, volume 4224 of Lecture Notes in Computer Science, page 116-124. Springer, (2006)SIFT Texture Description for Understanding Breast Ultrasound Images., , , , , , , , and . Digital Mammography / IWDM, volume 8539 of Lecture Notes in Computer Science, page 681-688. Springer, (2014)Segmenting extended structures in radio astronomical images by filtering bright compact sources and using wavelets decomposition., , , , , and . ICIP, page 2805-2808. IEEE, (2011)