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He et al [27] proposed a deep residual network framework that can solve this problem by using the residual block method, and this was proven to have significant accuracy for the Image Net validation set [27-29]. The residual architecture of Res Net101 is shown in Figure 2 (step 4).
According to the diagnosis reports, in every category (L1-L2 to L5-S1), a total of 3555 axial MR images were labeled as normal disk, disk bulge, or disk herniation.
JMIR Med Inform 2021;9(5):e14755
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