Multi-class classification of mammograms with hesitancy based Hanman transform classifier on pervasive information set texture features
With an aim to enhance the survival rate of women from breast cancer, this paper extends the Gabor, wavelet, and structure-based information set features into the pervasive information set features for more accurate breast cancer diagnosis from mammograms. The notion of a pervasive information set a...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Elsevier
2021-01-01
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| シリーズ: | Informatics in Medicine Unlocked |
| 主題: | |
| オンライン･アクセス: | http://www.sciencedirect.com/science/article/pii/S2352914821002318 |
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