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. Author manuscript; available in PMC: 2020 Mar 24.
Published in final edited form as: Proc IEEE Int Symp Biomed Imaging. 2019 Jul 11;2019:186–190. doi: 10.1109/isbi.2019.8759388

Fig. 2. CNN architecture.

Fig. 2.

This architecture begins with a single input patch of size 256×256x with a corresponding output of 6th order SH coefficients (1×28). The network consists of four convolutional layers with subsequent down-sampling and flattened towards the end to a fully connected dense layer. Relu activation, batch normalization and max pooling have been used for all convolutional layers.