Performance of the Deep Neural Network <i>Ciloctunet</i>, Integrated with Open-Source Software for Ciliary Muscle Segmentation in Anterior Segment OCT Images, Is on Par with Experienced Examiners

Performance of the Deep Neural Network <i>Ciloctunet</i>, Integrated with Open-Source Software for Ciliary Muscle Segmentation in Anterior Segment OCT Images, Is on Par with Experienced Examiners

Anterior segment optical coherence tomography (AS-OCT), being non-invasive and well-tolerated, is the method of choice for an in vivo investigation of ciliary muscle morphology and function. The analysis requires the segmentation of the ciliary muscle, which is, when performed manually, both time-co...

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Bibliographic Details
Main Authors: Torsten Straßer, Sandra Wagner
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Diagnostics
Subjects:
ciliary muscle
anterior segment
optical coherence tomography
U-Net
deep learning
image segmentation
Online Access:https://www.mdpi.com/2075-4418/12/12/3055

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