Intraretinal Layer Segmentation Using Cascaded Compressed U-Nets

Intraretinal Layer Segmentation Using Cascaded Compressed U-Nets

Reliable biomarkers quantifying neurodegeneration and neuroinflammation in central nervous system disorders such as Multiple Sclerosis, Alzheimer’s dementia or Parkinson’s disease are an unmet clinical need. Intraretinal layer thicknesses on macular optical coherence tomography (OCT) images are prom...

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Bibliographic Details
Main Authors: Sunil Kumar Yadav, Rahele Kafieh, Hanna Gwendolyn Zimmermann, Josef Kauer-Bonin, Kouros Nouri-Mahdavi, Vahid Mohammadzadeh, Lynn Shi, Ella Maria Kadas, Friedemann Paul, Seyedamirhosein Motamedi, Alexander Ulrich Brandt
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Journal of Imaging
Subjects:
optical coherence tomography (OCT)
intraretinal layer segmentation
retina
U-Net
deep learning
Online Access:https://www.mdpi.com/2313-433X/8/5/139

Internet

https://www.mdpi.com/2313-433X/8/5/139

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