Self-supervised feature learning via exploiting multi-modal data for retinal disease diagnosis

X Li, M Jia, MT Islam, L Yu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The automatic diagnosis of various retinal diseases from fundus images is important to
support clinical decision-making. However, develo** such automatic solutions is …

Rotation-oriented collaborative self-supervised learning for retinal disease diagnosis

X Li, X Hu, X Qi, L Yu, W Zhao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The automatic diagnosis of various conventional ophthalmic diseases from fundus images is
important in clinical practice. However, develo** such automatic solutions is challenging …

Adam challenge: Detecting age-related macular degeneration from fundus images

H Fang, F Li, H Fu, X Sun, X Cao, F Lin… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
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 …

A deep learning system for fully automated retinal vessel measurement in high throughput image analysis

D Shi, Z Lin, W Wang, Z Tan, X Shang… - Frontiers in …, 2022 - frontiersin.org
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 …

Label-efficient deep learning in medical image analysis: Challenges and future directions

C **, Z Guo, Y Lin, L Luo, H Chen - arxiv preprint arxiv:2303.12484, 2023 - arxiv.org
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 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 …

GaNDLF: the generally nuanced deep learning framework for scalable end-to-end clinical workflows

S Pati, SP Thakur, İE Hamamcı, U Baid… - Communications …, 2023 - nature.com
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 …

Ssit: Saliency-guided self-supervised image transformer for diabetic retinopathy grading

Y Huang, J Lyu, P Cheng, R Tam… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
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 …

Open fundus photograph dataset with pathologic myopia recognition and anatomical structure annotation

H Fang, F Li, J Wu, H Fu, X Sun, JI Orlando… - Scientific Data, 2024 - nature.com
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 …

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 …