Highly Accurate Nuclei Instance Segmentation of Cryosectioned H&E Stained Histological Images using Triple U-Net Architecture

The proposed Triple U-Net architecture significantly outperforms the baseline U-Net model in accurately segmenting nuclei from cryosectioned H&E stained histological images, achieving an AJI score of 67.41% and a PQ score of 50.56%.