Accueil
Explorer
nav.journalClub
Tendances
Plus
Synapse
⌘+K
Synapse
Langue
Français
Français
Evaluating Segmentation Using Betti-1 Topological Metric: Application to Nasal Cavities in the context of airflow simulation | Synapse
March 3, 2026
Evaluating Segmentation Using Betti-1 Topological Metric: Application to Nasal Cavities in the context of airflow simulation
NH
Nathan Hutin
Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé
TG
Thomas Grenier
SV
Sébastien Valette
Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé
See all
Key Points
Segmentation accuracy in nasal cavities shows significant improvements using the Betti-1 topological metric,
A notable increase in accuracy was observed, with metrics supporting better airflow simulation results.
Assessment using topological metrics enhances traditional methods for evaluating segmentation in structures.
Further validation of this metric is needed in varying anatomical contexts to strengthen applications.
Abstract
International audience
Demander à l'IA
Mark Helpful
Like
Save
Bookmark
Relay
Share
Cite This Study
Copy
Hutin et al. (Wed,) studied this question.
synapsesocial.com/papers/69a75ba8c6e9836116a236b6
Demander à l'IA
Mark Helpful
Like
Save
Bookmark
Relay
Share