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Information Journal Paper

Title

A NOVEL SMART SYSTEM FOR MASS DETECTION IN MAMMOGRAPHIC IMAGES

Pages

  46-54

Abstract

 Background: Breast cancer is a common disease in women. Detection and early diagnosis of this condition can be very effective in treating it. Mammography is currently the most effective methods of diagnosis for breast cancer.Material and Methods: We attempted to determine the MASSes in the MAMMOGRAPHY IMAGES. In this work, the proposed software can detect the areas around the MASS completely and accurately identify and display it separately. In this method, using image processing techniques and algorithms, the mammographic images are analyzed. NOISE REMOVAL and EDGE DETECTION operations and the separation of areas with higher concentrations are the elements of the proposed method.Results: Because the human diagnosis and human errors do not play a role in this process, so the accuracy of the proposed method is very high. The detection rate of the proposed model is very higher than other methods reported in the valid literatures.Conclusion: The proposed algorithm has been done on 160 images in mammographic images analysis society (MIAS). The results are very acceptable, and the percentage error is less than 5 percent. High speed and free of human error was the most important factors in the proposed intelligent system.

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  • Cite

    APA: Copy

    ABASPUR KAZEROUNI, IMAN, GHAYUMIZADEH, HOSSEIN, & HADDADNIA, JAVAD. (2010). A NOVEL SMART SYSTEM FOR MASS DETECTION IN MAMMOGRAPHIC IMAGES. IRANIAN QUARTERLY JOURNAL OF BREAST DISEASE, 2(3-4), 46-54. SID. https://sid.ir/paper/144693/en

    Vancouver: Copy

    ABASPUR KAZEROUNI IMAN, GHAYUMIZADEH HOSSEIN, HADDADNIA JAVAD. A NOVEL SMART SYSTEM FOR MASS DETECTION IN MAMMOGRAPHIC IMAGES. IRANIAN QUARTERLY JOURNAL OF BREAST DISEASE[Internet]. 2010;2(3-4):46-54. Available from: https://sid.ir/paper/144693/en

    IEEE: Copy

    IMAN ABASPUR KAZEROUNI, HOSSEIN GHAYUMIZADEH, and JAVAD HADDADNIA, “A NOVEL SMART SYSTEM FOR MASS DETECTION IN MAMMOGRAPHIC IMAGES,” IRANIAN QUARTERLY JOURNAL OF BREAST DISEASE, vol. 2, no. 3-4, pp. 46–54, 2010, [Online]. Available: https://sid.ir/paper/144693/en

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