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Application of ultrasound artificial intelligence in the differential diagnosis between benign and malignant breast lesions of BI-RADS 4A
BACKGROUND: The classification of Breast Imaging Reporting and Data System 4A (BI-RADS 4A) lesions is mostly based on the personal experience of doctors and lacks specific and clear classification standards. The development of artificial intelligence (AI) provides a new method for BI-RADS categorisa...
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| 出版年: | BMC Cancer |
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| 主要な著者: | , , , , , , , , , , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2020
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7532640/ https://ncbi.nlm.nih.gov/pubmed/33008320 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12885-020-07413-z |
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