Applications of deep learning in fundus images: A review

T Li, W Bo, C Hu, H Kang, H Liu, K Wang, H Fu - Medical Image Analysis, 2021 - Elsevier
The use of fundus images for the early screening of eye diseases is of great clinical
importance. Due to its powerful performance, deep learning is becoming more and more …

Promising artificial intelligence-machine learning-deep learning algorithms in ophthalmology

L Balyen, T Peto - The Asia-Pacific Journal of Ophthalmology, 2019 - journals.lww.com
The lifestyle of modern society has changed significantly with the emergence of artificial
intelligence (AI), machine learning (ML), and deep learning (DL) technologies in recent …

Survey on deep neural networks in speech and vision systems

M Alam, MD Samad, L Vidyaratne, A Glandon… - Neurocomputing, 2020 - Elsevier
This survey presents a review of state-of-the-art deep neural network architectures,
algorithms, and systems in speech and vision applications. Recent advances in deep …

Deep transfer learning approaches to predict glaucoma, cataract, choroidal neovascularization, diabetic macular edema, drusen and healthy eyes: an experimental …

Y Kumar, S Gupta - Archives of Computational Methods in Engineering, 2023 - Springer
Artificial intelligence (AI) has lately witnessed an age of tremendous expansion across
several industries, including healthcare. In recent years, substantial advancements in AI …

Ophthalmic diagnosis using deep learning with fundus images–A critical review

S Sengupta, A Singh, HA Leopold, T Gulati… - Artificial intelligence in …, 2020 - Elsevier
An overview of the applications of deep learning for ophthalmic diagnosis using retinal
fundus images is presented. We describe various retinal image datasets that can be used for …

Current state and future prospects of artificial intelligence in ophthalmology: a review

DT Hogarty, DA Mackey… - Clinical & experimental …, 2019 - Wiley Online Library
Artificial intelligence (AI) has emerged as a major frontier in computer science research.
Although AI has broad application across many medical fields, it will have particular utility in …

Deep learning-based automated classification of multi-categorical abnormalities from optical coherence tomography images

W Lu, Y Tong, Y Yu, Y Xing, C Chen… - … vision science & …, 2018 - tvst.arvojournals.org
Purpose: To develop a new intelligent system based on deep learning for automatically
optical coherence tomography (OCT) images categorization. Methods: A total of 60,407 OCT …

Integrating artificial and human intelligence: a partnership for responsible innovation in biomedical engineering and medicine

K Dzobo, S Adotey, NE Thomford… - Omics: a journal of …, 2020 - liebertpub.com
Historically, the term “artificial intelligence” dates to 1956 when it was first used in a
conference at Dartmouth College in the US. Since then, the development of artificial …

Applications of artificial intelligence in ophthalmology: general overview

W Lu, Y Tong, Y Yu, Y Xing, C Chen… - Journal of …, 2018 - Wiley Online Library
With the emergence of unmanned plane, autonomous vehicles, face recognition, and
language processing, the artificial intelligence (AI) has remarkably revolutionized our …

Deep learning-based automated detection of retinal diseases using optical coherence tomography images

F Li, H Chen, Z Liu, X Zhang, M Jiang, Z Wu… - Biomedical optics …, 2019 - opg.optica.org
Retinal disease classification is a significant problem in computer-aided diagnosis (CAD) for
medical applications. This paper is focused on a 4-class classification problem to …