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Spectral embedding based active contour (SEAC): application to breast lesion segmentation on DCE-MRI.

, , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7963 of SPIE Proceedings, page 796305. SPIE, (2011)

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Improving Parenchyma Segmentation by Simultaneous Estimation of Tissue Property T1 Map and Group-Wise Registration of Inversion Recovery MR Breast Images., , , , and . MICCAI (1), volume 5241 of Lecture Notes in Computer Science, page 342-350. Springer, (2008)Segmentation and Classification of Breast Tumor Using Dynamic Contrast-Enhanced MR Images., , , , and . MICCAI (2), volume 4792 of Lecture Notes in Computer Science, page 393-401. Springer, (2007)Segmentation and Classification of Triple Negative Breast Cancers Using DCE-MRI., , , , , , , , , and 1 other author(s). ISBI, page 1227-1230. IEEE, (2009)Textural Kinetics: A Novel Dynamic Contrast-Enhanced (DCE)-MRI Feature for Breast Lesion Classification., , , , , , , , , and . J. Digital Imaging, 24 (3): 446-463 (2011)Spectral embedding based active contour (SEAC): application to breast lesion segmentation on DCE-MRI., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7963 of SPIE Proceedings, page 796305. SPIE, (2011)Step: Spatial-Temporal Enhancement Pattern, for Mr-Based Breast Tumor Diagnosis., , , and . ISBI, page 520-523. IEEE, (2007)Simultaneous Estimation and Segmentation of T1 Map for Breast Parenchyma Measurement., , , , and . ISBI, page 332-335. IEEE, (2007)