Reducing unnecessary biopsies of BI-RADS 4 lesions based on a deep learning model for mammography
ObjectiveIn this study, we aimed to explore the diagnostic value of a deep learning (DL) model based on mammography for Breast Imaging Reporting and Data System (BI-RADS) 4 lesions and to reduce unnecessary breast biopsies.MethodsWe retrospectively collected clinical and imaging data of 557 BI-RADS...
I tiakina i:
| Ngā kaituhi matua: | , , , , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Frontiers Media S.A.
2025-06-01
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| Rangatū: | Frontiers in Oncology |
| Ngā marau: | |
| Urunga tuihono: | https://www.frontiersin.org/articles/10.3389/fonc.2025.1543553/full |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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