Improving Breast Cancer Segmentation in DCE-MRI with Phase-Aware Training
Analysis
This research utilizes selective phase-aware training within the nnU-Net framework to enhance breast cancer segmentation. The focus on multi-center Dynamic Contrast-Enhanced MRI (DCE-MRI) highlights the practical application and potential impact on clinical settings.
Key Takeaways
- •Applies selective phase-aware training to nnU-Net for improved breast cancer segmentation.
- •Targets the challenging task of segmenting breast cancer in multi-center DCE-MRI data.
- •Potentially improves the accuracy and reliability of breast cancer diagnosis and treatment planning.
Reference
“The research focuses on robust breast cancer segmentation in multi-center DCE-MRI.”