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.
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
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| Series: | International Journal of Clinical Practice |
| Online Access: | http://dx.doi.org/10.1155/ijcp/3533205 |
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| author | Ibrahim Burak Bahçecioğlu Şevket Barış Morkavuk Şebnem Çimen Müjdat Turan Gökay Çetinkaya Mehmet Ali Gülçelik |
| author_facet | Ibrahim Burak Bahçecioğlu Şevket Barış Morkavuk Şebnem Çimen Müjdat Turan Gökay Çetinkaya Mehmet Ali Gülçelik |
| author_sort | Ibrahim Burak Bahçecioğlu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-a68db849746f498c99ecacc83fbb2c24 |
| institution | Kabale University |
| issn | 1742-1241 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Clinical Practice |
| spelling | doaj-art-a68db849746f498c99ecacc83fbb2c242024-12-12T00:00:03ZengWileyInternational Journal of Clinical Practice1742-12412024-01-01202410.1155/ijcp/3533205The 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 PatientsIbrahim Burak Bahçecioğlu0Şevket Barış Morkavuk1Şebnem Çimen2Müjdat Turan3Gökay Çetinkaya4Mehmet Ali Gülçelik5Department of Surgical OncologyDepartment of Surgical OncologyDepartment of General SurgeryDepartment of General SurgeryDepartment of Surgical OncologyDepartment of Surgical OncologyConclusion: 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.http://dx.doi.org/10.1155/ijcp/3533205 |
| spellingShingle | Ibrahim Burak Bahçecioğlu Şevket Barış Morkavuk Şebnem Çimen Müjdat Turan Gökay Çetinkaya Mehmet Ali Gülçelik 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 International Journal of Clinical Practice |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| url | http://dx.doi.org/10.1155/ijcp/3533205 |
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