Improving Performance of Breast Lesion Classification Using a ResNet50 Model Optimized with a Novel Attention Mechanism
<b>Background:</b> The accurate classification between malignant and benign breast lesions detected on mammograms is a crucial but difficult challenge for reducing false-positive recall rates and improving the efficacy of breast cancer screening. <b>Objective:</b> This study...
| 主要な著者: | , , , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
MDPI AG
2022-09-01
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| シリーズ: | Tomography |
| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/2379-139X/8/5/200 |