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A deep learning model for diagnosis of inherited retinal diseases

Abstract To evaluate the performance of a multi-input deep learning (DL) model in detecting two common inherited retinal diseases (IRDs), i.e. retinitis pigmentosa (RP) and Stargardt disease (STGD), and differentiating them from healthy eyes. This cross-sectional study includes 391 cases, consisting...

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Principais autores: Freshteh Jafarbeglou, Hamid Ahmadieh, Farnaz Soleimani, Ali Karimi, Narsis Daftarian, Sahba Fekri, Tahmineh Motevasseli, Morteza Naderan, Babak Kamali Doust Azad, Abbas Sheikhtaheri, Farid Khorrami, Hemn Baghban Jaldian, Kia Bayat, Saeideh Shahbazi, Mahdi Yazdanpanah, Tahereh Sabbaghi, Kourosh Sheibani, Hadi Ghattan Kashani, Masoud Shariat Panahi, Hamideh Sabbaghi
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Portfolio 2025-07-01
coleção:Scientific Reports
Assuntos:
Artificial intelligence
Machine learning algorithms
Deep learning architectures
Inherited retinal diseases
Retinitis pigmentosa
Stargardt disease
Acesso em linha:https://doi.org/10.1038/s41598-025-04648-3
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