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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: 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
Sprache:Inglês
Veröffentlicht: Nature Portfolio 2025-11-01
Schriftenreihe:Scientific Reports
Schlagworte:
Deep learning
Kidney histology
Multiclass segmentation
Semantic segmentation
Transformer
Online-Zugang:https://doi.org/10.1038/s41598-025-22814-5
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