Super-resolution before medical image segmentation risks losing small but real pathology—a critical concern for clinical applications where missing lesions could affect patient care decisions.
This study evaluates whether super-resolution (SR) techniques accurately recover small white-matter lesions from thick-slice MRI scans or instead erase real lesions and create false ones.