Skip to main content
. 2023 Nov 7;13(12):7680–7694. doi: 10.21037/qims-23-163

Figure 3.

Figure 3

The architecture for our TR-Net. Features of a given flavour are input into the ‘legs’ of the network, which work to extract and combine the most effective features. The various flavour legs are then concatenated and put through several final layers before producing a binary prediction. SELU, scaled exponential linear unit; TR-Net, tensor radiomics network.