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TableĀ 1 Data is shown regarding the accuracy rates of both baseline and ad hoc trained methods.

From: Scoring pleurisy in slaughtered pigs using convolutional neural networks

MethodAccuracy rates (%)
Healthy half carcasses (class I)Lesions class IILesions class IIILesions class IVAverage value
Baseline DL method9270626873
Ad hoc trained DL-based method9670849285.5
  1. Accuracy values clearly indicate that the segmentation-based approach provides better results, the only exception being represented by class II.