An optimization approach to segment breast lesions in ultra-sound images using clinically validated visual cues
暂无分享,去创建一个
Guillaume Lemaitre | Joan Martí | Anke Meyer-Baese | Fabrice Meriaudeau | Joan Massich | Mojdeh Rastrgoo
[1] Fabrice Mériaudeau,et al. SIFT Texture Description for Understanding Breast Ultrasound Images , 2014, Digital Mammography / IWDM.
[2] W. P. Evans,et al. American Cancer Society Guidelines for Breast Cancer Screening: Update 2003 , 2003, CA: a cancer journal for clinicians.
[3] A. Jemal,et al. Global Cancer Statistics , 2011 .
[4] Anton Osokin,et al. Fast Approximate Energy Minimization with Label Costs , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[5] Rachid Deriche,et al. A Review of Statistical Approaches to Level Set Segmentation: Integrating Color, Texture, Motion and Shape , 2007, International Journal of Computer Vision.
[6] Pascal Fua,et al. SLIC Superpixels Compared to State-of-the-Art Superpixel Methods , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] A. Stavros,et al. Solid breast nodules: use of sonography to distinguish between benign and malignant lesions. , 1995, Radiology.
[8] J. Vall. Deformable object segmentation in ultra-sound images , 2013 .