Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6890916 | Computer Methods and Programs in Biomedicine | 2018 | 9 Pages |
Abstract
The accuracy of discrimination between normal and abnormal ROIs in mammograms obtained with the proposed gray level texture features sets are encouraging and comparable to these obtained with multiresolution features. Combination of several features as well as feature selection steps improve the results. To improve false positives reduction in CAD systems for breast cancer diagnosis, these features could be combined with multiresolution features.
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Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Sami Dhahbi, Walid Barhoumi, Jaroslaw Kurek, Bartosz Swiderski, Michal Kruk, Ezzeddine Zagrouba,