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. 2020 Sep 30;2(5):e190183. doi: 10.1148/ryai.2020190183

Figure 2a:

Training and validation performance of various model configurations. (a) Batch normalization (BN) demonstrated fluctuations in validation performance. (b) This was alleviated in part by increasing the batch size (BS) from three to 12. (c) Per-class Dice coefficients averaged over all examinations in the validation dataset. Error bars represent 1 standard deviation. Model 5 predicted only the brainstem and cerebrum, cerebellum, ventricular system, and subarachnoid space. RN = batch renormalization, LN = layer normalization.

Training and validation performance of various model configurations. (a) Batch normalization (BN) demonstrated fluctuations in validation performance. (b) This was alleviated in part by increasing the batch size (BS) from three to 12. (c) Per-class Dice coefficients averaged over all examinations in the validation dataset. Error bars represent 1 standard deviation. Model 5 predicted only the brainstem and cerebrum, cerebellum, ventricular system, and subarachnoid space. RN = batch renormalization, LN = layer normalization.