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Comparison of AHRF, U-Net, FCN, DeepLabV3 and their accuracy trends on all 3 datasets. Sample 1 shows how the accuracy of AHRF improves from Dataset 1 to Dataset 2 but then decreases when more, noisier data is added in Dataset 3. The deep learning networks on the other hand shows consistent improvement as more data is added. The samples demonstrate how skin pixels are segmented more accurately than the wound segment because of the huge class imbalance in data.
