Breast lesion identification and categorization using mammography screening based on combined convolutional recursive neural network framework with parameters optimized using multi‐objective seagull optimization algorithm
Summary In recent years, a number of learning methods have been adopted for classifying the mammogram images, which helps the early detection and diagnosis of breast cancer. The breast lesion identification and categorization using mammography screening based on combined convolutional neural network...
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| Veröffentlicht in: | Concurrency and computation Jg. 34; H. 28 |
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| Hauptverfasser: | , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Hoboken, USA
John Wiley & Sons, Inc
25.12.2022
Wiley Subscription Services, Inc |
| Schlagworte: | |
| ISSN: | 1532-0626, 1532-0634 |
| Online-Zugang: | Volltext |
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