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...

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Detalhes bibliográficos

Principais autores:	Jamshid Saeidian, Hossein Azimi, Zohre Azimi, Parnia Pouya, Hassan Asadigandomani, Hamid Riazi-Esfahani, Alireza Hayati, Kimia Daneshvar, Elias Khalili Pour
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2024-10-01
coleção:	BMC Medical Imaging
Assuntos:	Convolutional neural network Transfer learning Choroidal vascular index Choroid segmentation Optical coherence tomography
Acesso em linha:	https://doi.org/10.1186/s12880-024-01459-2
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