[HTML][HTML] An anatomization on breast cancer detection and diagnosis employing multi-layer perceptron neural network (MLP) and Convolutional neural network (CNN)
M Desai, M Shah - Clinical eHealth, 2021 - Elsevier
This paper aims to review Artificial neural networks, Multi-Layer Perceptron Neural network
(MLP) and Convolutional Neural network (CNN) employed to detect breast malignancies for …
(MLP) and Convolutional Neural network (CNN) employed to detect breast malignancies for …
Artificial intelligence for strengthening healthcare systems in low-and middle-income countries: a systematic scoping review
T Ciecierski-Holmes, R Singh, M Axt, S Brenner… - npj Digital …, 2022 - nature.com
In low-and middle-income countries (LMICs), AI has been promoted as a potential means of
strengthening healthcare systems by a growing number of publications. We aimed to …
strengthening healthcare systems by a growing number of publications. We aimed to …
Advances in hyaluronic acid for biomedical applications
A Yasin, Y Ren, J Li, Y Sheng, C Cao… - … in Bioengineering and …, 2022 - frontiersin.org
Hyaluronic acid (HA) is a large non-sulfated glycosaminoglycan that is the main component
of the extracellular matrix (ECM). Because of its strong and diversified functions applied in …
of the extracellular matrix (ECM). Because of its strong and diversified functions applied in …
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 …
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 …
Developments in the detection of diabetic retinopathy: a state-of-the-art review of computer-aided diagnosis and machine learning methods
The exponential increase in the number of diabetics around the world has led to an equally
large increase in the number of diabetic retinopathy (DR) cases which is one of the major …
large increase in the number of diabetic retinopathy (DR) cases which is one of the major …
Detecting glaucoma with only OCT: Implications for the clinic, research, screening, and AI development
A method for detecting glaucoma based only on optical coherence tomography (OCT) is of
potential value for routine clinical decisions, for inclusion criteria for research studies and …
potential value for routine clinical decisions, for inclusion criteria for research studies and …
Detection of diabetic retinopathy using bichannel convolutional neural network
SI Pao, HZ Lin, KH Chien, MC Tai… - Journal of …, 2020 - Wiley Online Library
Deep learning of fundus photograph has emerged as a practical and cost‐effective
technique for automatic screening and diagnosis of severer diabetic retinopathy (DR). The …
technique for automatic screening and diagnosis of severer diabetic retinopathy (DR). The …
Comprehensive review on the use of artificial intelligence in ophthalmology and future research directions
Background: Having several applications in medicine, and in ophthalmology in particular,
artificial intelligence (AI) tools have been used to detect visual function deficits, thus playing …
artificial intelligence (AI) tools have been used to detect visual function deficits, thus playing …
Identification of glaucoma from fundus images using deep learning techniques
Purpose: Glaucoma is one of the preeminent causes of incurable visual disability and
blindness across the world due to elevated intraocular pressure within the eyes. Accurate …
blindness across the world due to elevated intraocular pressure within the eyes. Accurate …