Automatic Diagnosis of Thyroid Ultrasound Image Based on FCN-AlexNet and Transfer Learning
暂无分享,去创建一个
Ye Yuan | Yun Lin | Xingjian Zhang | Yiqi Shi | Jianguo Sun | Tianxu Sun
[1] Dimitrios K. Iakovidis,et al. Efficient and Effective Ultrasound Image Analysis Scheme for Thyroid Nodule Detection , 2007, ICIAR.
[2] Karolin Baecker,et al. Two Dimensional Signal And Image Processing , 2016 .
[3] Xuelong Li,et al. Optimized graph-based segmentation for ultrasound images , 2014, Neurocomputing.
[4] M. Giger,et al. Computerized lesion detection on breast ultrasound. , 2002, Medical physics.
[5] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[6] Jean Serra,et al. Image Analysis and Mathematical Morphology , 1983 .
[7] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[8] Richard A. Haddad,et al. Adaptive median filters: new algorithms and results , 1995, IEEE Trans. Image Process..
[9] Fei-Fei Li,et al. ImageNet: A large-scale hierarchical image database , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Heng-Da Cheng,et al. A novel automatic seed point selection algorithm for breast ultrasound images , 2008, 2008 19th International Conference on Pattern Recognition.