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Segmentation of choroidal area in optical coherence tomography images using a transfer learning-based conventional neural network: a focus on diabetic retinopathy and a literature review

Abstract Background This study aimed to evaluate the effectiveness of DeepLabv3+with Squeeze-and-Excitation (DeepLabv3+SE) architectures for segmenting the choroid in optical coherence tomography (OCT) images of patients with diabetic retinopathy. Methods A total of 300 B-scans were selected from 21...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Jamshid Saeidian, Hossein Azimi, Zohre Azimi, Parnia Pouya, Hassan Asadigandomani, Hamid Riazi-Esfahani, Alireza Hayati, Kimia Daneshvar, Elias Khalili Pour
Format: Artigo
Sprache:Inglês
Veröffentlicht: BMC 2024-10-01
Schriftenreihe:BMC Medical Imaging
Schlagworte:
Convolutional neural network
Transfer learning
Choroidal vascular index
Choroid segmentation
Optical coherence tomography
Online-Zugang:https://doi.org/10.1186/s12880-024-01459-2
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