Fig. 5 | Scientific Reports

Fig. 5

From: A deep learning algorithm for automatic 3D segmentation and quantification of hamstrings musculotendon injury from MRI

Fig. 5

(A) Relating the AI label outputs to BAMIC grade for (left) total edema label volume and (right) max edema content (percentage of edema volume in total muscle volume, %) found in a muscle for A & B sites (myofascial and myotendinous junction/muscular sites) and C sites (tendinous sites) with an unpaired t-test. Color-mapping of maximum muscle impact (right) indicates the volume of edema overlapping tendon pixels. (B) Repeat of (A) however utilizing the manually segmented labels for the calculation instead of the AI labels. (C) Sample hamstring tendon and edema segmentations (color coding shown) categorized by BAMIC site demonstrating various presentations of the three sites. Full results relating other edema AI segmentation output metrics to BAMIC grades are in supplementary material.

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