An overview of artificial intelligence in diabetic retinopathy and other ocular diseases

B Sheng, X Chen, T Li, T Ma, Y Yang, L Bi… - Frontiers in Public …, 2022 - frontiersin.org
Artificial intelligence (AI), also known as machine intelligence, is a branch of science that
empowers machines using human intelligence. AI refers to the technology of rendering …

Artificial intelligence and digital health in global eye health: opportunities and challenges

TF Tan, AJ Thirunavukarasu, L Jin, J Lim… - The Lancet Global …, 2023 - thelancet.com
Global eye health is defined as the degree to which vision, ocular health, and function are
maximised worldwide, thereby optimising overall wellbeing and quality of life. Improving eye …

Omnimedvqa: A new large-scale comprehensive evaluation benchmark for medical lvlm

Y Hu, T Li, Q Lu, W Shao, J He… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract Large Vision-Language Models (LVLMs) have demonstrated remarkable
capabilities in various multimodal tasks. However their potential in the medical domain …

Gamma challenge: glaucoma grading from multi-modality images

J Wu, H Fang, F Li, H Fu, F Lin, J Li, Y Huang, Q Yu… - Medical Image …, 2023 - Elsevier
Glaucoma is a chronic neuro-degenerative condition that is one of the world's leading
causes of irreversible but preventable blindness. The blindness is generally caused by the …

Multimodal machine learning using visual fields and peripapillary circular OCT scans in detection of glaucomatous optic neuropathy

J Xiong, F Li, D Song, G Tang, J He, K Gao, H Zhang… - Ophthalmology, 2022 - Elsevier
Purpose To develop and validate a multimodal artificial intelligence algorithm, FusionNet,
using the pattern deviation probability plots from visual field (VF) reports and circular …

The application of artificial intelligence in glaucoma diagnosis and prediction

L Zhang, L Tang, M Xia, G Cao - Frontiers in cell and developmental …, 2023 - frontiersin.org
Artificial intelligence is a multidisciplinary and collaborative science, the ability of deep
learning for image feature extraction and processing gives it a unique advantage in dealing …

Literature review on artificial intelligence methods for glaucoma screening, segmentation, and classification

J Camara, A Neto, IM Pires, MV Villasana… - Journal of …, 2022 - mdpi.com
Artificial intelligence techniques are now being applied in different medical solutions ranging
from disease screening to activity recognition and computer-aided diagnosis. The …

[PDF][PDF] Optic disc and optic cup segmentation on retinal image based on multimap localization and u-net convolutional neural network

AN Almustofa, A Handayani, TLR Mengko - Journal of Image and Graphics, 2022 - joig.net
Glaucoma is an eye disease that is caused by an increase in intraocular pressure.
Excessive intraocular pressure could damage optic nerves and lead to vision loss. Early …

Holistic evaluation of gpt-4v for biomedical imaging

Z Liu, H Jiang, T Zhong, Z Wu, C Ma, Y Li, X Yu… - arXiv preprint arXiv …, 2023 - arxiv.org
In this paper, we present a large-scale evaluation probing GPT-4V's capabilities and
limitations for biomedical image analysis. GPT-4V represents a breakthrough in artificial …

Sa-med2d-20m dataset: Segment anything in 2d medical imaging with 20 million masks

J Ye, J Cheng, J Chen, Z Deng, T Li, H Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
Segment Anything Model (SAM) has achieved impressive results for natural image
segmentation with input prompts such as points and bounding boxes. Its success largely …