Back to search

Article

DentalSegmentator: robust deep learning-based CBCT image segmentation

2024-03-18

Abstract excerpt

<h4>Objectives</h4> Segmentation of anatomical structures on dento-maxillo-facial (DMF) computed tomography (CT) or cone beam computed tomography (CBCT) scans is increasingly needed in digital dentistry. The main aim of this research was to propose and evaluate a novel open source tool called DentalSegmentator for fully automatic segmentation of five anatomic structures on DMF CT and CBCT scans: maxilla/upper skul...

Topics

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

Identifiers and source

Literature Corpus work
bc33fadd-64c2-5b82-99dd-62bfb99a0a3d
DOI
10.1101/2024.03.18.24304458
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.
DentalSegmentator: robust deep learning-based CBCT image segmentationDOI 10.1101/2024.03.18.24304458
Select a neighboring publication to make it the new centre.