Back to search

Article

Accuracy and Generalizability of an Open-Source Deep Learning Model For Facial Bone Segmentation on CT and CBCT Scans

2025-12-29

Abstract excerpt

<h4>Aim</h4> To evaluate the accuracy and generalizability of DentalSegmentator, an open-source deep learning tool, for automated segmentation of skeletal facial surfaces from computed tomography (CT) scans acquired under different imaging conditions. <h4>Materials and Methods</h4> Ten human skulls were scanned using a CT scanner and three cone beam CT (CBCT) protocols (including an ultra-low-dose protocol) on t...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
79babea5-59ec-5cf4-ba71-24205507448f
DOI
10.64898/2025.12.28.25343101
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Accuracy and Generalizability of an Open-Source Deep Learning Model For Facial Bone Segmentation on CT and CBCT ScansDOI 10.64898/2025.12.28.25343101
Select a neighboring publication to make it the new centre.