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    Weakly-Supervised Hair SEM Microscope Image Segmentation Using A Priori Structure Information

    November 2024 in “ Image Analysis & Stereology ”
    Xiaohu Liu, Thérèse Baldeweck, Pierre Dupuis … Beatriz Marcotegui
    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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