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. 2021 Feb 17;3(3):e190169. doi: 10.1148/ryai.2021190169

Figure 1:

Overview of the model framework: the proposed anomaly-detection concept at a glance. An autoencoder is optimized to compress and reconstruct MR images of healthy brain anatomy (training phase, A). A simple subtraction (during the inference phase, B) of the reconstructed image from the corresponding input data reveals lesions in the brain. C, Underlying neural network architecture.

Overview of the model framework: the proposed anomaly-detection concept at a glance. An autoencoder is optimized to compress and reconstruct MR images of healthy brain anatomy (training phase, A). A simple subtraction (during the inference phase, B) of the reconstructed image from the corresponding input data reveals lesions in the brain. C, Underlying neural network architecture.