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. Author manuscript; available in PMC: 2020 Apr 1.
Published in final edited form as: IEEE Trans Med Imaging. 2018 Oct 23;38(4):1058–1068. doi: 10.1109/TMI.2018.2877576

Fig. 8.

Fig. 8.

The exploration results of hyper parameters. (a) Results of GRUbased network. (b) Results of LSTM-based network. (c) Results of basic unitbased network. The horizontal axis represents the number of neurons in fully connected layer, and the vertical axis indicates the recognition accuracy. All networks contain two recurrent layers, and bars in different colors indicate different numbers of cell units per recurrent layer.