| Autor: |
Huslan, N. S. A., Khairunizam, W., Zunaidi, I., Venketkumar, H., Shahriman, A. B., Zuradzman, M. R., Rudzuan, M. N., Mustafa, W. A. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2018, Vol. 2045 Issue 1, p020029-1-020029-7, 7p |
| Abstrakt: |
Breast cancer is one of the five highest in Malaysia and most affected by women. Computer-aided diagram typically used in conjunction with a mammogram to detect breast cancer cells of women. A detection cancerous cell by using image information is a challenge task because of the different intensity distribution in the breast-affected area. This can lead to wrong results and diagnosis. This paper proposes a method to detect cancer cells from a mammogram image. Matrix Laboratory (MATLAB) programming language is used during this entire analysis. Mammogram image is converted to grayscale and then is resized to 600 x 600 pixels. A median filter is used to remove the noises in the image. The thresholds values are investigated from the value-based grayscale histogram. The results clearly demonstrate the feasibility and effectiveness of the proposed approach of the range threshold value used for segmentation of the cancerous cell. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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