Deep Learning Algorithms Versus Radiologists in Digital Breast Tomosynthesis for Breast Cancer Detection: Systematic Review and Meta-Analysis
Abstract BackgroundDeep learning (DL) algorithms for digital breast tomosynthesis (DBT) have proliferated, demonstrating emerging potential in enhancing lesion detection and classification. ObjectiveThis study aimed to compare the diagnostic performance of DL algor...
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| Principais autores: | , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
JMIR Publications
2026-05-01
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| Serier: | Journal of Medical Internet Research |
| Online adgang: | https://www.jmir.org/2026/1/e91659 |
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