Analysis of Co-Occurrence Texture Statistics as a Function of Gray-Level Quantization for Classifying Breast Ultrasound

@article{Gmez2012AnalysisOC,
  title={Analysis of Co-Occurrence Texture Statistics as a Function of Gray-Level Quantization for Classifying Breast Ultrasound},
  author={Walter G{\'o}mez and Wagner Coelho A. Pereira and Antonio Fernando Catelli Infantosi},
  journal={IEEE Transactions on Medical Imaging},
  year={2012},
  volume={31},
  pages={1889-1899}
}
In this paper, we investigated the behavior of 22 co-occurrence statistics combined to six gray-scale quantization levels to classify breast lesions on ultrasound (BUS) images. The database of 436 BUS images used in this investigation was formed by 217 carcinoma and 219 benign lesions images. The region delimited by a minimum bounding rectangle around the lesion was employed to calculate the gray-level co-occurrence matrix (GLCM). Next, 22 co-occurrence statistics were computed regarding six… CONTINUE READING

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