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

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eess.IV2026★ 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

Leveraging Pathology Foundation Models for Panoptic Segmentation of Melanoma in H&E Images

Jiaqi Lv, Yijie Zhu, Carmen Guadalupe Colin Tenorio +3

Melanoma is an aggressive form of skin cancer with rapid progression and high metastatic potential. Accurate characterisation of tissue morphology in melanoma is crucial for progno…