A data augmentation approach to enhance breast cancer detection using generative adversarial and artificial neural networks
Breast cancer is globally known to be a major health concern that necessitates advancements in detection and classification methods. This study introduces a machine learning-based approach for breast cancer diagnosis using benign and malignant mammograms of breast cancer. A two-hidden-layer artifici...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2024-11-01
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| Series: | Open Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/eng-2024-0052 |
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