Tumor Classification in Histological Images of Prostate Using Color Texture

  title={Tumor Classification in Histological Images of Prostate Using Color Texture},
  author={Ali Tabesh and Mikhail Teverovskiy},
  journal={2006 Fortieth Asilomar Conference on Signals, Systems and Computers},
We present a wavelet-based color texture approach to tumor classification in the histological images of prostate. We extend our previous work on intensity images to incorporate color information and rotational invariance. Our results on a set of 367 images stained using hematoxylin and eosin indicate that incorporating color and rotational invariance into the features significantly reduces the classification error. We obtained a 5- fold cross-validation error of 8.7% for intensity images and no… CONTINUE READING
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and O

  • A. Tabesh, M. Teverovskiy, H. Pang, V. P. Kumar, D. Verbel, A. Kotsianti
  • Saidi “Multi-feature prostate cancer diagnosis…
  • 2007
1 Excerpt

and P

  • J. Diamond, N. Anderson, P. Bartels, R. Montironi
  • Hamilton, “The use of morphological…
  • 2004
2 Excerpts

and A

  • M. A. Roula, J. Diamond, A. Bouridane, P. Miller
  • Amira, “A multispectral computer vision system…
  • 2002
2 Excerpts

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