Breast cancer classification using digital biopsy histopathology images through transfer learning
暂无分享,去创建一个
Liyana Shuib | Ghulam Mujtaba | Ghulam Murtaza | Ghulam Raza | G. Mujtaba | Ainuddin Wahid Abdul Wahab | Nor Aniza Azmi | G. Murtaza | Ghulam Raza | Liyana Shuib | Ainuddin Wahid Abdul Wahab | Nor Aniza Azmi
[1] Erik Reinhard,et al. Color Transfer between Images , 2001, IEEE Computer Graphics and Applications.
[2] Lilly Suriani Affendey,et al. Classification of Histopathology Images of Breast into Benign and Malignant using a Single-layer Convolutional Neural Network , 2017, ICISPC 2017.
[3] Matti Pietikäinen,et al. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[4] Catarina Eloy,et al. Classification of breast cancer histology images using Convolutional Neural Networks , 2017, PloS one.
[5] A. Jemal,et al. Cancer treatment and survivorship statistics, 2016 , 2016, CA: a cancer journal for clinicians.
[6] Shohreh Kasaei,et al. Benign and malignant breast tumors classification based on region growing and CNN segmentation , 2015, Expert Syst. Appl..
[7] J. Elmore,et al. Diagnostic concordance among pathologists interpreting breast biopsy specimens. , 2015, JAMA.
[8] J. S. Marron,et al. A method for normalizing histology slides for quantitative analysis , 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[9] Nasir M. Rajpoot,et al. A Nonlinear Mapping Approach to Stain Normalization in Digital Histopathology Images Using Image-Specific Color Deconvolution , 2014, IEEE Transactions on Biomedical Engineering.