Figure 5.

System framework. Each WSI is formatted into a tile-based pyramid data structure and the probability of HSILs at every level is generated by multi-layer deep learning framework. A multi-layer attention map is computed to select tiles of interest at every next level by a tile selector model $\lambda$, and the segmentation result of HSILs is generated by the last layer deep learning model $M_N(t_{N,i,j}^{\prime }(x,y))$.