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Self-supervised feature learning via exploiting multi-modal data for retinal disease diagnosis
The automatic diagnosis of various retinal diseases from fundus images is important to
support clinical decision-making. However, develo** such automatic solutions is …
support clinical decision-making. However, develo** such automatic solutions is …
Rotation-oriented collaborative self-supervised learning for retinal disease diagnosis
The automatic diagnosis of various conventional ophthalmic diseases from fundus images is
important in clinical practice. However, develo** such automatic solutions is challenging …
important in clinical practice. However, develo** such automatic solutions is challenging …
Adam challenge: Detecting age-related macular degeneration from fundus images
Age-related macular degeneration (AMD) is the leading cause of visual impairment among
elderly in the world. Early detection of AMD is of great importance, as the vision loss caused …
elderly in the world. Early detection of AMD is of great importance, as the vision loss caused …
A deep learning system for fully automated retinal vessel measurement in high throughput image analysis
Motivation Retinal microvasculature is a unique window for predicting and monitoring major
cardiovascular diseases, but high throughput tools based on deep learning for in-detail …
cardiovascular diseases, but high throughput tools based on deep learning for in-detail …
Label-efficient deep learning in medical image analysis: Challenges and future directions
Deep learning has seen rapid growth in recent years and achieved state-of-the-art
performance in a wide range of applications. However, training models typically requires …
performance in a wide range of applications. However, training models typically requires …
Performance of artificial intelligence for the detection of pathological myopia from colour fundus images: a systematic review and meta-analysis
J Prashar, N Tay - Eye, 2024 - nature.com
Background Pathological myopia (PM) is a major cause of worldwide blindness and
represents a serious threat to eye health globally. Artificial intelligence (AI)-based methods …
represents a serious threat to eye health globally. Artificial intelligence (AI)-based methods …
GaNDLF: the generally nuanced deep learning framework for scalable end-to-end clinical workflows
Deep Learning (DL) has the potential to optimize machine learning in both the scientific and
clinical communities. However, greater expertise is required to develop DL algorithms, and …
clinical communities. However, greater expertise is required to develop DL algorithms, and …
Ssit: Saliency-guided self-supervised image transformer for diabetic retinopathy grading
Self-supervised Learning (SSL) has been widely applied to learn image representations
through exploiting unlabeled images. However, it has not been fully explored in the medical …
through exploiting unlabeled images. However, it has not been fully explored in the medical …
Open fundus photograph dataset with pathologic myopia recognition and anatomical structure annotation
Pathologic myopia (PM) is a common blinding retinal degeneration suffered by highly
myopic population. Early screening of this condition can reduce the damage caused by the …
myopic population. Early screening of this condition can reduce the damage caused by the …
A deep network using coarse clinical prior for myopic maculopathy grading
Y Sun, Y Li, F Zhang, H Zhao, H Liu, N Wang… - Computers in Biology and …, 2023 - Elsevier
Pathological Myopia (PM) is a globally prevalent eye disease which is one of the main
causes of blindness. In the long-term clinical observation, myopic maculopathy is a main …
causes of blindness. In the long-term clinical observation, myopic maculopathy is a main …