Deep learning predicts HER2 status in invasive breast cancer from multimodal ultrasound and MRI
The preoperative human epidermal growth factor receptor type 2 (HER2) status of breast cancer is typically determined by pathological examination of a core needle biopsy, which influences the efficacy of neoadjuvant chemotherapy (NAC). However, the highly heterogeneous nature of breast cancer and t...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Association of Basic Medical Sciences of Federation of Bosnia and Herzegovina
2025-05-01
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| Series: | Biomolecules & Biomedicine |
| Subjects: | |
| Online Access: | https://www.bjbms.org/ojs/index.php/bjbms/article/view/12475 |
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