Towards standardizing retinal optical coherence tomography angiography: a review
The visualization and assessment of retinal microvasculature are important in the study,
diagnosis, monitoring, and guidance of treatment of ocular and systemic diseases. With the …
diagnosis, monitoring, and guidance of treatment of ocular and systemic diseases. With the …
Reviewing federated machine learning and its use in diseases prediction
Machine learning (ML) has succeeded in improving our daily routines by enabling
automation and improved decision making in a variety of industries such as healthcare …
automation and improved decision making in a variety of industries such as healthcare …
Review on security of federated learning and its application in healthcare
Artificial intelligence (AI) has led to a high rate of development in healthcare, and good
progress has been made on many complex medical problems. However, there is a lack of …
progress has been made on many complex medical problems. However, there is a lack of …
Explainable, domain-adaptive, and federated artificial intelligence in medicine
Artificial intelligence (AI) continues to transform data analysis in many domains. Progress in
each domain is driven by a growing body of annotated data, increased computational …
each domain is driven by a growing body of annotated data, increased computational …
Federated learning for medical image analysis with deep neural networks
S Nazir, M Kaleem - Diagnostics, 2023 - mdpi.com
Medical image analysis using deep neural networks (DNN) has demonstrated state-of-the-
art performance in image classification and segmentation tasks, aiding disease diagnosis …
art performance in image classification and segmentation tasks, aiding disease diagnosis …
The AI revolution in glaucoma: bridging challenges with opportunities
F Li, D Wang, Z Yang, Y Zhang, J Jiang, X Liu… - Progress in Retinal and …, 2024 - Elsevier
Recent advancements in artificial intelligence (AI) herald transformative potentials for
reshaping glaucoma clinical management, improving screening efficacy, sharpening …
reshaping glaucoma clinical management, improving screening efficacy, sharpening …
A systematic review on federated learning in medical image analysis
MF Sohan, A Basalamah - IEEE Access, 2023 - ieeexplore.ieee.org
Federated Learning (FL) obtained a lot of attention to the academic and industrial
stakeholders from the beginning of its invention. The eye-catching feature of FL is handling …
stakeholders from the beginning of its invention. The eye-catching feature of FL is handling …
OCT angiography and its retinal biomarkers
Optical coherence tomography angiography (OCTA) is a high-resolution, depth-resolved
imaging modality with important applications in ophthalmic practice. An extension of …
imaging modality with important applications in ophthalmic practice. An extension of …
Federated learning for diagnosis of age-related macular degeneration
This paper presents a federated learning (FL) approach to train deep learning models for
classifying age-related macular degeneration (AMD) using optical coherence tomography …
classifying age-related macular degeneration (AMD) using optical coherence tomography …
Developing a privacy-preserving deep learning model for glaucoma detection: a multicentre study with federated learning
Background Deep learning (DL) is promising to detect glaucoma. However, patients' privacy
and data security are major concerns when pooling all data for model development. We …
and data security are major concerns when pooling all data for model development. We …