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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

Crossref DOI link: https://doi.org/10.1186/s12880-024-01459-2

Published Online: 2024-10-18

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Saeidian, Jamshid

Azimi, Hossein

Azimi, Zohre

Pouya, Parnia

Asadigandomani, Hassan

Riazi-Esfahani, Hamid

Hayati, Alireza

Daneshvar, Kimia

Khalili Pour, Elias
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Text and Data Mining valid from 2024-10-18

Version of Record valid from 2024-10-18
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Article History

Received: 24 June 2024

Accepted: 8 October 2024

First Online: 18 October 2024

Declarations

:

: By the ethical guidelines of the Helsinki principles, this research has been approved by a local committee at Tehran University of Medical Sciences (IR.TUMS.FARABIH.REC.1400.035). Informed consent was obtained from all subjects.

: Participants were asked for permission to share their information anonymously and gave their informed consent for publication by signing a form.

: The authors declare no competing interests.

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