Back to search

Article

Machine learning-based noise reduction for craniofacial bone segmentation in CT images

2022-06-27

Abstract excerpt

<h4>Objective</h4> When high X-ray absorption rate materials such as metal prosthetics are in the field of CT scan, noise called metal artifacts might appear. In reconstructing a three-dimensional bone model from X-ray CT images, the metal artifacts remain. Often, the image of the scanning bed also remains. A machine learning-based system to reduce noises in the craniofacial CT images was constructed. <h4>Methods<...

Topics

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

Identifiers and source

Literature Corpus work
7c843bbc-150e-5368-b3ef-3e266cd79426
DOI
10.1101/2022.06.26.22276925
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.
Machine learning-based noise reduction for craniofacial bone segmentation in CT imagesDOI 10.1101/2022.06.26.22276925
Select a neighboring publication to make it the new centre.