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Fully automated volumetry of ventricular subregions on computed tomography using object detection and semantic segmentation | Synapse
March 3, 2026
Open Access
Fully automated volumetry of ventricular subregions on computed tomography using object detection and semantic segmentation
RM
Raffaele Da Mutten
University of Lucerne
OZ
Olivier Zanier
University of Zurich
AC
Alessandro Carreta
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Key Points
Automated volumetry significantly enhances the assessment of ventricular subregions.
Measurements of subregions can be done in under 20 minutes, showcasing speed in analysis.
Using object detection and semantic segmentation, this method provides precise volume calculations.
The method's implications may improve workflow efficiency in clinical radiology settings.
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Mutten et al. (Fri,) studied this question.
synapsesocial.com/papers/69a7688dbadf0bb9e87e50fc
https://doi.org/https://doi.org/10.1016/j.ynirp.2026.100325