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Aim
While manual quantification is still considered the gold standard for skeletal muscle histological analysis, it is time‐consuming and prone to investigator bias. To address this challenge, we assembled an automated image analysis pipeline, FiNuTyper (Fiber and Nucleus Typer).
Methods
We integrated recently developed deep learning‐based image segmentation methods, optimized for unbiased evaluation...