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Evaluation of stopping criteria for level set segmentation of breast masses in contrast-enhanced dedicated breast CT.

, , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 8315 of SPIE Proceedings, page 83152C. SPIE, (2012)

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Level Set Breast Mass Segmentation in Contrast-Enhanced and Non-Contrast-Enhanced Breast CT., , , , , , and . Digital Mammography / IWDM, volume 7361 of Lecture Notes in Computer Science, page 697-704. Springer, (2012)Evaluation of stopping criteria for level set segmentation of breast masses in contrast-enhanced dedicated breast CT., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 8315 of SPIE Proceedings, page 83152C. SPIE, (2012)Analysis of breast CT lesions using computer-aided diagnosis: an application of neural networks on extracted morphologic and texture features., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 8315 of SPIE Proceedings, page 83152E. SPIE, (2012)A breast density index for digital mammograms based on radiologists' randing., , , and . J. Digital Imaging, 11 (3): 101-115 (1998)Evaluation of a 3D lesion segmentation algorithm on DBT and breast CT images., , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7624 of SPIE Proceedings, page 76242N. SPIE, (2010)Level Set Segmentation of Breast Masses in Contrast-Enhanced Dedicated Breast CT and Evaluation of Stopping Criteria., , , , , , and . J. Digital Imaging, 27 (2): 237-247 (2014)