Speckle reduction approach for breast ultrasound image and its application to breast cancer diagnosis
Author:
Publisher
Elsevier BV
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Reference26 articles.
1. Comparative proteome analysis of breast cancer and normal breast;Luo;Mol Biotechnol,2005
2. Cancer statistics 2005;Jemal;CA Cancer J Clin,2005
3. The detection of breast microcalcifications with medical ultrasound;Anderson;J Acoust Soc Am,1997
4. Sonographic target sign and rim enhancement on magnetic resonance imaging in metastatic melanoma to the breast;Ashkar;Australas Radiol,2006
5. Breast lesions on sonograms computer-aided diagnosis with nearly setting-independent features and artificial neural networks;Chen;Radiology,2003
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