ASSESSMENT OF A NOVEL COMPUTER AIDED MASS DIAGNOSIS SYSTEM IN MAMMOGRAMS

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RAHMANI SERYASAT OMID; HADDADNIA JAVAD; GHAYOUMI ZADEH HOSSEIN

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Journal: Iranian Journal of Breast Diseases Year:2016 | Volume:9 | Issue:3 Page(s): 31-41

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Information Journal Paper

Title

ASSESSMENT OF A NOVEL COMPUTER AIDED MASS DIAGNOSIS SYSTEM IN MAMMOGRAMS

Author(s)

RAHMANI SERYASAT OMID | HADDADNIA JAVAD | GHAYOUMI ZADEH HOSSEIN | Issue Writer Certificate

Keywords

BREAST CANCERQ2

MAMMOGRAPHYQ2

BENIGN AND MALIGNANTQ2

Abstract

Introduction: MAMMOGRAPHY is the most common modality for screening BREAST CANCER. In this paper a computer aided system is introduced to diagnose benignity and malignancy of masses.Methods: In the first step of the proposed method, masses are prepared for segmentation using a noise reduction and contrast enhancement technique. Afterwards, a region of interest is segmented using a new adaptive region growing algorithm, and boundary and texture features are extracted to form its feature vector. Consequently, a new robust architecture is proposed to combine weak and strong classifiers to classify masses. Finally, the proposed mass diagnosis system was also tested on mini-MIAS and DDSM databases.Results: The obtained results indicate that the proposed system can compete with the state-of-the-art methods in terms of accuracy.Conclusion: The novelties of the proposed system can be summarized as presenting a new automatic adaptive region growing algorithm to extract boundary of masses, using descriptors based on empirical mode functions, and introducing a new framework for combing classifiers.

Cites

DESIGNING A GROUP DECISION-MAKING SYSTEM USING A FUZZY COMBINATION OF REGRESSION METHODS FOR PREDICTION OF BENIGN OR MALIGNANT BREAST TUMORS

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APA: Copy

RAHMANI SERYASAT, OMID, HADDADNIA, JAVAD, & GHAYOUMI ZADEH, HOSSEIN. (2016). ASSESSMENT OF A NOVEL COMPUTER AIDED MASS DIAGNOSIS SYSTEM IN MAMMOGRAMS. IRANIAN QUARTERLY JOURNAL OF BREAST DISEASE, 9(3), 31-41. SID. https://sid.ir/paper/144576/en

Vancouver: Copy

RAHMANI SERYASAT OMID, HADDADNIA JAVAD, GHAYOUMI ZADEH HOSSEIN. ASSESSMENT OF A NOVEL COMPUTER AIDED MASS DIAGNOSIS SYSTEM IN MAMMOGRAMS. IRANIAN QUARTERLY JOURNAL OF BREAST DISEASE[Internet]. 2016;9(3):31-41. Available from: https://sid.ir/paper/144576/en

IEEE: Copy

OMID RAHMANI SERYASAT, JAVAD HADDADNIA, and HOSSEIN GHAYOUMI ZADEH, “ASSESSMENT OF A NOVEL COMPUTER AIDED MASS DIAGNOSIS SYSTEM IN MAMMOGRAMS,” IRANIAN QUARTERLY JOURNAL OF BREAST DISEASE, vol. 9, no. 3, pp. 31–41, 2016, [Online]. Available: https://sid.ir/paper/144576/en

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