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

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
Main Authors: Amine Lagzouli, Peter Pivonka, David M. L. Cooper, Vittorio Sansalone, Alice Othmani
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
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
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