Automating liver biopsy segmentation with a robust, open-source tool for pathology research: the HOTSPoT model

Automating liver biopsy segmentation with a robust, open-source tool for pathology research: the HOTSPoT model

Abstract Artificial intelligence applications in liver pathology remain limited, with existing tools either narrowly focused or lacking external validation. This study introduces HOTSPoT, an open-source, validated transformer-based model for automated segmentation of portal tracts in H&E-stained...

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Main Authors: Giorgio Cazzaniga, Vincenzo L’Imperio, Emanuela Bonoldi, María-Carlota Londoño, João Madaleno, Augusta Cipriano, Tom J. G. Gevers, Iryna V. Samarska, Özgür M. Koc, Alejandra Villamil, Maria Florencia Sanchez, Vincenza Calvaruso, Alberto Quattrocchi, Daniela Cabibi, Bastian Engel, Federica Malinverno, Elisa Merelli, Laura Cristoferi, Marco Carbone, Fabio Pagni, Pietro Invernizzi, Alessio Gerussi
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-025-01870-1
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https://doi.org/10.1038/s41746-025-01870-1

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