Partial Fractional Derivative (PFD) based Texture Analysis Model for Medical Image Segmentation

Author:

Hemalatha S.,Margret Anouncia S.

Publisher

Springer Singapore

Reference37 articles.

1. Chang, T., & Kuo, C. C. (1993). Texture analysis and classification with tree-structured wavelet transform. IEEE Transactions on Image Processing, 2(4), 429–441.

2. Chen, Y. T. (2017). Medical image segmentation using independent component analysis-based kernelized fuzzy-means clustering. Mathematical Problems in Engineering, 2017.

3. Chuang, E. R., & Sher, D. (1993). $${\chi^{2}}$$ χ 2 test for feature detection. Pattern Recognition, 26(11), 1673–1681.

4. Cimpoi, M., Maji, S., Kokkinos, I., & Vedaldi, A. (2015). Deep filter banks for texture recognition, description, and segmentation. International Journal of Computer Vision, 1–30.

5. Costa, E., Lorena, A., Carvalho, A. C. P. L. F., & Freitas, A. (2007). A review of performance evaluation measures for hierarchical classifiers. In Evaluation methods for machine learning II: Papers from the AAAI-2007 workshop (pp. 1–6). Vancouver, Canada: AAAI.

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