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Automatically Diagnosing Disk Bulge and Disk Herniation With Lumbar Magnetic Resonance Images by Using Deep Convolutional Neural Networks: Method Development Study

Automatically Diagnosing Disk Bulge and Disk Herniation With Lumbar Magnetic Resonance Images by Using Deep Convolutional Neural Networks: Method Development Study

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.

Qiong Pan, Kai Zhang, Lin He, Zhou Dong, Lei Zhang, Xiaohang Wu, Yi Wu, Yanjun Gao

JMIR Med Inform 2021;9(5):e14755

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