Figure 1 | Scientific Reports

Figure 1

From: Multi-pose-based convolutional neural network model for diagnosis of patients with central lumbar spinal stenosis

Figure 1

Workflow of the multi-pose model to classify severe lumbar spinal stenosis (LSS). The first part in the convolutional layer part is for the extraction of spatial features extracted by three pre-trained single-pose-based convolutional neural network models with non-trainable parameters, and the second part in multi-layer perceptron (MLP) is for classifying patients using the concatenated features. H&E Histogram equalization.

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