most citedCORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment

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eess.IV2025★ 1 cited

KongNet: A Multi-headed Deep Learning Model for Detection and Classification of Nuclei in Histopathology Images

Jiaqi Lv, Esha Sadia Nasir, Kesi Xu +4

Accurate detection and classification of nuclei in histopathology images are critical for diagnostic and research applications. We present KongNet, a multi-headed deep learning arc…

eess.IV2025

From Traditional to Deep Learning Approaches in Whole Slide Image Registration: A Methodological Review

Behnaz Elhaminia, Abdullah Alsalemi, Esha Nasir +6

Whole slide image (WSI) registration is an essential task for analysing the tumour microenvironment (TME) in histopathology. It involves the alignment of spatial information betwee…