An enhancement of multi classifiers voting method for mammogram image based on image histogram equalization

Breast cancer is one the most curable cancer types if it can be diagnosed early. Research efforts have reported with increasing confirmation that the computation methods have greater accurate diagnosis ability. An enhancement of multi classifiers voting technique based on histogram equalization as a...

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書誌詳細
主要な著者: Ibrahim, Ashraf Osman, Ahmed, Ali, Azizah, Anik Hanifatul, Lashar, Saima Anwar, Alobeed, Mohamed Alhaj, Kasim, Shahreen, Ismail, Mohd Arfian
フォーマット: 論文
言語:English
出版事項: Penerbit UTHM 2018
主題:
オンライン・アクセス:http://eprints.uthm.edu.my/3661/1/AJ%202018%20%28712%29%20An%20enhancement%20of%20multi%20classifiers%20voting%20method%20for%20mammogram%20image%20based%20on%20image%20histogram%20equalization.pdf
http://eprints.uthm.edu.my/3661/
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