Transformer-based multiclass segmentation pipeline for basic kidney histology

Abstract Current applications of deep learning in renal pathology focused on anatomical structures with morphology, yet little research has focused on the performance of models, such as versatility, in regions with severe kidney damage. In this study, we explored the difference in modal/domain shift...

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Auteurs principaux:	Junling He, Pieter A. Valkema, Jingmin Long, Jia Li, Sandrine Florquin, Maarten Naesens, Priyanka Koshy, Tri Q. Nguyen, Soufian Meziyerh, Aiko P. J. de Vries, Onno J. De Boer, Fons J. Verbeek, Zhan Xiong, Jesper Kers
Format:	Artigo
Langue:	Inglês
Publié:	Nature Portfolio 2025-11-01
Collection:	Scientific Reports
Sujets:	Deep learning Kidney histology Multiclass segmentation Semantic segmentation Transformer
Accès en ligne:	https://doi.org/10.1038/s41598-025-22814-5
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