Automated 3T DCE-MRI Breast Lesion Segmentation: A Two-Stage V-Net Deep Learning Approach for Enhanced Clinical Efficiency
In medical imaging, the accurate segmentation of lesions is a fundamental step for monitoring tumor progression and extracting quantitative radiomic features for lesion characterization. Traditionally, this task has relied on manual input, which is notoriousl...
Poster Program · Diagnostic and Interventional Radiology Physics