An evaluation of AI-based methods for papilledema detection in retinal fundus images
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Elsevier BV
Reference43 articles.
1. Diagnostic error in neuro-ophthalmology: avenues to improve;Muro-Fuentes;Curr. Neurol. Neurosci. Rep.,2022
2. Transfer learning-based platform for detecting multi-classification retinal disorders using optical coherence tomography images;Saleh;Int. J. Imaging Syst. Technol.,2022
3. Papilledema: a review of etiology, pathophysiology, diagnosis, and management;Xie;Surv. Ophthalmol.,2022
4. Acute central retinal artery occlusion seen within 24 hours at a tertiary institution;Chan;J. Stroke Cerebrovasc. Dis.,2021
5. Fundus imaging and perimetry in patients with idiopathic intracranial hypertension—an intermethod and interrater validity study;Rissan;Eur. J. Neurol.,2023
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