IEEE

FDNet: Feature Decoupled Segmentation Network for Tooth CBCT Image

Abstract: Precise Tooth Cone Beam Computed Tomography (CBCT) image segmentation is crucial for orthodontic treatment planning. In this paper, we propose FDNet, a Feature Decoupled Segmentation Network ...
GitHub

MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning (ICCV2025)

This software is a research prototype, solely developed for and published as part of the publication MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot ...
IEEE

Sparse Anatomical Prompt Semi-Supervised Learning with Masked Image Modeling for CBCT Tooth Segmentation

Abstract: Accurate tooth identification and segmentation in Cone Beam Computed Tomography (CBCT) dental images can significantly enhance the efficiency and precesion of manual diagnoses performed by ...
SciELO

CT image segmentation as a tool for volumetric measurement of external inflammatory root resorption

Objective: The present study aimed to evaluate cone beam computed tomography image segmentation as a tool for measuring the volume of external inflammatory root resorption in human permanent teeth.