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  5. Computational investigation of breast cancer on mammogram image information
 
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Computational investigation of breast cancer on mammogram image information

Journal
AIP Conference Proceedings
ISSN
0094243X
Date Issued
2018-12-06
Author(s)
Huslan N.S.A.
Khairunizam W.
Zunaidi I.
Venketkumar H.
Shahriman A.B.
Zuradzman M.R.
Rudzuan M.N.
Mustafa W.A.
DOI
10.1063/1.5080842
Handle (URI)
https://hdl.handle.net/20.500.14170/11834
Abstract
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.
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