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Automated quantification of lung pathology on micro-CT in diverse disease models using deep learningResearch in context

Summary: Background: Micro-CT significantly enhances the efficiency, predictive power and translatability of animal studies to human clinical trials for respiratory diseases. However, the analysis of large micro-CT datasets remains a bottleneck. Methods: We developed a generic deep learning (DL)-ba...

Whakaahuatanga katoa

I tiakina i:
Ngā kaituhi matua: Flore Belmans, Laura Seldeslachts, Eliane Vanhoffelen, Birger Tielemans, Wim Vos, Frederik Maes, Greetje Vande Velde
Hōputu: Artigo
Reo:Inglês
I whakaputaina: Elsevier 2025-09-01
Rangatū:EBioMedicine
Ngā marau:
Lung disease
Small animal models
Micro-computed tomography
Imaging biomarkers
Segmentation
Deep learning
Urunga tuihono:http://www.sciencedirect.com/science/article/pii/S2352396425003482
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