Weakly-Supervised Hair SEM Microscope Image Segmentation Using A Priori Structure Information
November 2024
in “
Image Analysis & Stereology
”
Studysummary This study introduced a novel, weakly supervised method for segmenting hair in Scanning Electron Microscope images using simple image-level annotations, achieving over 30% improvement in mean Hausdorff Distance compared to Unet and SAM, while enhancing interpretability and refinement.
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