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her2_fuzzy_logic's Introduction

Segmentation of HER2 Overexpression in Histopathology Images with Fuzzy Decision Tree

Her2

Dataset

References

  • Pezoa, R., Salinas, L., Torres, C., Härtel, S., Maureira-Fredes, C., & Arce, P. (2016, October). Segmentation of HER2 protein overexpression in immunohistochemically stained breast cancer images using Support Vector Machines. In Journal of Physics: Conference Series (Vol. 762, No. 1, pp. 528-536).
  • Tabakov, M., & Kozak, P. (2014). Segmentation of histopathology HER2/neu images with fuzzy decision tree and Takagi–Sugeno reasoning. Computers in biology and medicine, 49, 19-29.
  • Tanaka, K. (1997). An introduction to fuzzy logic for practical applications.
  • Begelrnan, G., Gur, E., Rivlin, E., Rudzsky, M., & Zalevsky, Z. (2004, October). Cell nuclei segmentation using fuzzy logic engine. In 2004 International Conference on Image Processing, 2004. ICIP'04. (Vol. 5, pp. 2937-2940). IEEE.
  • Umanol, M., Okamoto, H., Hatono, I., Tamura, H. I. R. O. Y. U. K. I., Kawachi, F., Umedzu, S., & Kinoshita, J. (1994, June). Fuzzy decision trees by fuzzy ID3 algorithm and its application to diagnosis systems. In Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference (pp. 2113-2118). IEEE.
  • Begelrnan, G., Gur, E., Rivlin, E., Rudzsky, M., & Zalevsky, Z. (2004, October). Cell nuclei segmentation using fuzzy logic engine. In 2004 International Conference on Image Processing, 2004. ICIP'04. (Vol. 5, pp. 2937-2940). IEEE.
  • Ruifrok, A. C., & Johnston, D. A. (2001). Quantification of histochemical staining by color deconvolution. Analytical and quantitative cytology and histology, 23(4), 291-299.
  • Hall-Beyer, M. (2000). GLCM texture: a tutorial. National Council on Geographic Information and Analysis Remote Sensing Core Curriculum, 3.
  • Gonzalez, R. C., & Richard, E. (2002). Woods, digital image processing. ed: Prentice Hall Press, ISBN 0-201-18075, 8.

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