Figure 1
From: Approaching expert-level accuracy for differentiating ACL tear types on MRI with deep learning
Flowchart illustrating the enrollment criteria. Participant data were used for the development of a deep learning method for the detection of intact (n = 324) and torn (n = 538) ACLs, the latter of which consisted of Type 1 (n = 86), Type 2 (n = 113), Type 3 (n = 204), Type 4 (n = 54) and Type 5 (n = 81) tears. PD = Proton Density.
