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An international benchmark for nanometer-scale instance segmentation of axons and myelin sheaths in TEM images, tackling the core computer vision bottleneck in automated g-ratio quantification.
Review the scientific background, clinical motivation, and critical dates, then complete the mandatory challenge registration below.
High-resolution 100 kV transmission electron microscopy (TEM) images annotated for two classes: axons and myelin sheaths.
Access the curated training cohort with expert manual pixel annotations, as well as the unannotated test set upon release.
Mathematical formulation of segmentation overlap ($\text{Dice}$), boundary error ($\text{HD}_{95}$), and clinical morphological biomarker error ($\Delta g$-ratio).
Official ranking, award distinctions, and validated metric scores for all participating research groups.