About this document

Deep Learning for 3D Breast Cancer Segmentation by wangli614079 is a document available to read on EtoBox.

This research article presents a deep learning model for 3D breast cancer segmentation in DCE-MRI using weak annotation, demonstrating reliable performance. The study involved 736 women with breast cancer, achieving a median Dice similarity score of 0.75 for the whole breast and 0.89 for the region of interest. The findings suggest that the proposed model can effectively utilize weakly annotated data for accurate breast cancer segmentation.

Author

wangli614079

Language

EN