Classification of digital mammograms using information set features and Hanman Transform based classifiers
Several studies have been made in the literature for the early detection of breast cancer using mammograms. These studies mainly deal with methods that do not capture local information. To fill up this gap this paper presents an approach that extracts the local features called information set featur...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-01-01
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| Series: | Informatics in Medicine Unlocked |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352914820302896 |