Figure 8

Comparison in WSI labelling for machine-learning and deep learning-based methods. The process involves extracting relevant patches using a threshold on the red channel of the original WSI (depicted as yellow squares). The Artificial Neural Network (ANN) performs patch classification, while UPerNet-Twins employs a segmentation paradigm. Finally, a threshold on positive pixels is applied to obtain the final label of the slide.