Article

DUCK-Net: Automated deep learning segmentation of Ductular Reactions in murine liver injury captures multicellular niche dynamics from H&E morphology

2026-02-10

Abstract excerpt

Ductular Reactions (DRs) are dynamic and complex multicellular responses that occur as a result of various hepatic injuries. Precise identification and quantification of the extent of DRs is a cornerstone of pre-clinical modelling of liver disease, with links to inflammation, fibrosis, regeneration, and disease severity. Here, we apply a deep learning model, Deep Understanding Convolutional Kernel or ‘DUCK-Net’, t...

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Literature Corpus work: 5b456e2a-5372-5407-a589-826e788973bb
DOI: 10.64898/2026.02.09.704844

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