A computer-aided system for mass detection and classification in digitized mammograms

Sheng Chih Yang, Chuin Mu Wang, Yi Nung Chung, Giu Cheng Hsu, San Kan Lee, Pau Choo Chung, Chein I. Chang

研究成果: Review article同行評審

44 引文 斯高帕斯(Scopus)


This paper presents a computer-assisted diagnostic system for mass detection and classification, which performs mass detection on regions of interest followed by the benign-malignant classification on detected masses. In order for mass detection to be effective, a sequence of preprocessing steps are designed to enhance the intensity of a region of interest, remove the noise effects and locate suspicious masses using five texture features generated from the spatial gray level difference matrix (SGLDM) and fractal dimension. Finally, a probabilistic neural network (PNN) coupled with entropic thresholding techniques is developed for mass extraction. Since the shapes of masses are crucial in classification between benignancy and malignancy, four shape features are further generated and joined with the five features previously used in mass detection to be implemented in another PNN for mass classification. To evaluate our designed system a data set collected in the Taichung Veteran General Hospital, Taiwan, R.O.C. was used for performance evaluation. The results are encouraging and have shown promise of our system.

頁(從 - 到)215-228
期刊Biomedical Engineering - Applications, Basis and Communications
出版狀態Published - 2005 10月 25

All Science Journal Classification (ASJC) codes

  • 生物物理學
  • 生物工程
  • 生物醫學工程


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