Automated Lesion Segmentation of Stroke MRI Using nnU-Net: A Comprehensive External Validation Across Acute and Chronic Lesions
The study tested nnU-Net for segmenting stroke lesions across acute and chronic MRI scans. Models trained on DWI performed better for acute strokes, while lesion volume was crucial for accuracy in chronic studies. This research provides guidelines for building robust, generalizable AI tools by focusing on data size and lesion characteristics.