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<p>The challenge of classifying different types of breast tissue on digital ultrasound images is addressed. A&#xa0;classification technique based on the random forest classifier is proposed, where the eigenvalues of the Hessian matrix and the descriptor of local binary patterns are used as image features. The effectiveness of the proposed technique is assessed. The technique developed here provides an acceptable classification of normal breast tissue from a&#xa0;clinical point of view.</p>

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Classification of breast tissues on ultrasound images

  • 期刊论文

  • 发表日期：

    2025年9月15日

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  • D. V. Pasynkov,
  • I. A. Egoshin,
  • A. A. Kolchev,
  • I. V. Klyushkin,
  • O. O. Pasynkova

摘要

The challenge of classifying different types of breast tissue on digital ultrasound images is addressed. A classification technique based on the random forest classifier is proposed, where the eigenvalues of the Hessian matrix and the descriptor of local binary patterns are used as image features. The effectiveness of the proposed technique is assessed. The technique developed here provides an acceptable classification of normal breast tissue from a clinical point of view.