Development of breast cancer diagnosis system based on fuzzy logic and probabilistic neural network

Authors

DOI:

https://doi.org/10.15587/1729-4061.2020.202820

Keywords:

breast cancer diagnosis, fuzzy logic (FL), probabilistic neural network (PNN)

Abstract

Breast cancer is one of the most common kinds of cancers that infect females in the whole world. It has happened when the cells in breast tissues start to grow in an uncontrollable way. Because it leads to death, early detection and diagnosis is a very important task to save the patient's life. Due to the restriction of human observers, computer plays a significant role in detecting early cancer signs. The proposed system uses a multi-resolution analysis and a top-hat operation for detecting the suspicious regions in a mammogram image. The discrete wavelet transform feature analysis is utilized for extracting features from the region of interest. Fuzzy Logic (FL) and Probabilistic Neural Network (PNN) are utilized for classifying the tumor into normal or abnormal. The differences between the proposed system and other researches are the use of adaptive threshold value depending on each image, by using Discrete Wavelet Transform (DWT) in both segmentation and feature extraction phases, which decrease complexity and time. Additionally, the detection of more than one tumor in the breast mammogram image and the utilization of FL and PNN work on increasing the system efficiency that led to raising the accuracy rate of the system and reducing the time. The obtained results of accuracy, sensitivity, and specificity were equal to 99 %, 98 %, and 47 %, respectively, and these results showed that the proposed system is more accurate than the other previous related works

Supporting Agencies

  • Department of Computer Science
  • College of Science
  • University of Diyala
  • Iraq

Author Biographies

Taha Mohammed Hasan, University of Diyala Diyala, Iraq

PhD of Computer Science, Assistant Professor, Head of Department

Department of Computer Science, College of Science

Sahab Dheyaa Mohammed, University of Information Technology and Communications Baghdad, Iraq

PhD of Computer Science-Security, Lecturer

Jumana Waleed, University of Diyala Diyala, Iraq

PhD of Computer Science, Assistant Professor

Department of Computer Science, College of Science

References

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Published

2020-08-31

How to Cite

Mohammed Hasan, T., Dheyaa Mohammed, S., & Waleed, J. (2020). Development of breast cancer diagnosis system based on fuzzy logic and probabilistic neural network. Eastern-European Journal of Enterprise Technologies, 4(9 (106), 6–13. https://doi.org/10.15587/1729-4061.2020.202820

Issue

Vol. 4 No. 9 (106) (2020): Information and controlling system

Section

Information and controlling system

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Copyright (c) 2020 Dr. Taha Mohammed Hasan, Dr. Sahab Dheyaa Mohammed, Dr. Jumana Waleed

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