The Role of Mammographic Breast Area/Microcalcification Cluster Area (BA/MCA) Ratio in the Classification of BI-RADS 4 Lesions: A Step for Development of Artificial Intelligence in Breast Cancer Patients
Conclusion: The increase in the ratio of MCA to BA might have a place in the differentiation of BI-RADS 4 lesions. We foresee that artificial intelligence could also have a place in the classification of BI-RADS lesions with software to be installed on the mammography computer.
保存先:
| 主要な著者: | , , , , , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Wiley
2024-01-01
|
| シリーズ: | International Journal of Clinical Practice |
| オンライン･アクセス: | http://dx.doi.org/10.1155/ijcp/3533205 |
| タグ: |
タグなし, このレコードへの初めてのタグを付けませんか!
|