Back to search

Article

Deep Learning based retinal layer segmentation in optical coherence tomography scans of patients with inherited retinal diseases

2023-09-26

Abstract excerpt

<h4>Background</h4> On optical coherence tomography (OCT) scans of patients with inherited retinal diseases (IRDs), the outer nuclear layer (ONL) thickness measurement has been well established as a surrogate marker for photoreceptor preservation. Current automatic segmentation tools fail in OCT segmentation in IRDs, and manual segmentation is time consuming. <h4>Methods and Material</h4> Patients with IRD and the...

Topics

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

Identifiers and source

Literature Corpus work
5d31475e-6248-59fa-8619-2cddff017189
DOI
10.1101/2023.09.26.23295852
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.
Deep Learning based retinal layer segmentation in optical coherence tomography scans of patients with inherited retinal diseasesDOI 10.1101/2023.09.26.23295852
Select a neighboring publication to make it the new centre.