Applications of deep learning in fundus images: A review
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 …
importance. Due to its powerful performance, deep learning is becoming more and more …
Promising artificial intelligence-machine learning-deep learning algorithms in ophthalmology
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 …
intelligence (AI), machine learning (ML), and deep learning (DL) technologies in recent …
Survey on deep neural networks in speech and vision systems
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 …
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 …
Artificial intelligence (AI) has lately witnessed an age of tremendous expansion across
several industries, including healthcare. In recent years, substantial advancements in AI …
several industries, including healthcare. In recent years, substantial advancements in AI …
Ophthalmic diagnosis using deep learning with fundus images–A critical review
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 …
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 …
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 …
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 …
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 …
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 …
medical applications. This paper is focused on a 4-class classification problem to …