For systemic diseases, RETFound consistently outperformed traditional deep-learning models in internal testing when fine-tuned on smaller datasets and with smaller datasets, except in the case of diabetic retinopathy and glaucoma.
S. Yew, Xiao-Feng Lei, Jocelyn Hui Lin Goh et al.· The Lancet Digital Health· 1 citation
A Vision Transformer-based deep learning model for glaucoma detection across multi-ethnic cohorts with and without HM showed robust glaucoma detection across myopic and non-myopic multi-ethnic populations and may support AI-assisted screening in settings with high HM prevalence.
R. Lavanya, Yang-Qin Feng, Ten Cheer Quek et al.· 0 citations
The retina, as an extension of the central nervous system, shares a common embryological origin with the brain. In Alzheimer's disease (AD), studies of human tissue and animal models have revealed that hallmark AD pathologies, including amyloid-β (Aβ) deposits and pathological tau protein tangles, also appear in the re...
Xia-Yin Zhang, Dongli Zhuang, Chun-Ran Lai et al.· Progress in retinal and eye...· 0 citations
GlobeReady is developed, a deployment-oriented platform powered by the RetiGlobe model and local feature augmentation that evaluates domain generalisability, Bayesian uncertainty quantification, out-of-distribution (OOD) detection, and feature-based case retrieval in medical imaging diagnostics.
Meng Wang, Tian Lin, Qing-Shan Hou et al.· 1 citation
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