Deep learning aided preoperative diagnosis of primary central nervous system lymphoma.

Fitting a mixed-effects model with Šídák’s post-hoc test comparing the time to diagnosis of radiologists and neurosurgeons, a highly significant effect was discovered in patient’s heterogeneity (p = 0.0005), but not in the training of the rater (p = 0.74).

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