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Performance of Machine Learning Classification in Sonomammogram Images using BI-RADS
This research aims to investigate the classification accuracy of various state-of-the-art image classification models across different categories of breast ultrasound images, as defined by the Breast Imaging Reporting and Data System (BI-RADS). To achieve this, we used 2,945 sonomammogram images for
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