A robust deep learning approach for segmenting cortical and trabecular bone from 3D high resolution µCT scans of mouse bone

Abstract Recent advancements in deep learning have significantly enhanced the segmentation of high-resolution microcomputed tomography (µCT) bone scans. In this paper, we present the dual-branch attention-based hybrid network (DBAHNet), a deep learning architecture designed for automatically segment...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Amine Lagzouli, Peter Pivonka, David M. L. Cooper, Vittorio Sansalone, Alice Othmani
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-03-01
Subjects:	3D image segmentation Deep learning Microcomputed tomography µCT High-resolution Mouse tibia Robust model
Online Access:	https://doi.org/10.1038/s41598-025-92954-1