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Harnessing clinical annotations to improve deep learning performance in prostate segmentation

Fig 4

Soft Dice coefficients for models trained with ablated dataset.

Soft Dice Coefficients for models trained using the ablated primary dataset (“Primary”) or trained using an ablated primary model as weight initializer (“FT”). PX2 = ProstateX-2, P12 = PROMISE12, FT = fine-tuned. Significant improvements can be seen in the performance of the fine-tuned models at 5% of the primary dataset used for training the ablated primary baseline model, with the performance benefits leveling out at 60% of the dataset.

Fig 4

doi: https://doi.org/10.1371/journal.pone.0253829.g004