Collagen: quantification, biomechanics and role of minor subtypes in cartilage
BJ Bielajew, JC Hu, KA Athanasiou - Nature Reviews Materials, 2020 - nature.com
Collagen is a ubiquitous biomaterial in vertebrate animals. Although each of its 28 subtypes
contributes to the functions of many different tissues in the body, most studies on collagen or …
contributes to the functions of many different tissues in the body, most studies on collagen or …
Deep learning applications to classification and detection of age-related macular degeneration on optical coherence tomography imaging: a review
Age-related macular degeneration (AMD) is one of the leading causes of blindness in the
elderly, more commonly in developed countries. Optical coherence tomography (OCT) is a …
elderly, more commonly in developed countries. Optical coherence tomography (OCT) is a …
Ensemble Federated learning approach for diagnostics of multi-order lung cancer
U Subashchandrabose, R John, UV Anbazhagu… - Diagnostics, 2023 - mdpi.com
The early detection and classification of lung cancer is crucial for improving a patient's
outcome. However, the traditional classification methods are based on single machine …
outcome. However, the traditional classification methods are based on single machine …
Artificial intelligence and deep learning in ophthalmology
Artificial intelligence (AI), in particular deep learning (DL), has gained significant interest
recently from healthcare systems. DL has been widely applied to detect and classify major …
recently from healthcare systems. DL has been widely applied to detect and classify major …
Reticular pseudodrusen: the third macular risk feature for progression to late age-related macular degeneration: age-related eye disease study 2 report 30
Purpose To analyze reticular pseudodrusen (RPD) as an independent risk factor for
progression to late age-related macular degeneration (AMD), alongside traditional macular …
progression to late age-related macular degeneration (AMD), alongside traditional macular …
Understanding inherent image features in CNN-based assessment of diabetic retinopathy
Diabetic retinopathy (DR) is a leading cause of blindness and affects millions of people
throughout the world. Early detection and timely checkups are key to reduce the risk of …
throughout the world. Early detection and timely checkups are key to reduce the risk of …
A multimodal deep learning system to distinguish late stages of AMD and to compare expert vs. AI ocular biomarkers
Abstract Within the next 1.5 decades, 1 in 7 US adults is anticipated to suffer from age-
related macular degeneration (AMD), a degenerative retinal disease which leads to …
related macular degeneration (AMD), a degenerative retinal disease which leads to …
An explainable artificial intelligence-based robustness optimization approach for age-related macular degeneration detection based on medical IOT systems
AI-based models have shown promising results in diagnosing eye diseases based on multi-
sources of data collected from medical IOT systems. However, there are concerns regarding …
sources of data collected from medical IOT systems. However, there are concerns regarding …
A multitask deep-learning system to classify diabetic macular edema for different optical coherence tomography devices: a multicenter analysis
OBJECTIVE Diabetic macular edema (DME) is the primary cause of vision loss among
individuals with diabetes mellitus (DM). We developed, validated, and tested a deep …
individuals with diabetes mellitus (DM). We developed, validated, and tested a deep …
HCTNet: a hybrid ConvNet-transformer network for retinal optical coherence tomography image classification
Z Ma, Q Xie, P Xie, F Fan, X Gao, J Zhu - Biosensors, 2022 - mdpi.com
Automatic and accurate optical coherence tomography (OCT) image classification is of great
significance to computer-assisted diagnosis of retinal disease. In this study, we propose a …
significance to computer-assisted diagnosis of retinal disease. In this study, we propose a …