Automated detection and forecasting of covid-19 using deep learning techniques: A review
Abstract In March 2020, the World Health Organization (WHO) declared COVID-19 a global
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
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 …
Data analytics in healthcare: A review of patient-centric approaches and healthcare delivery
The integration of data analytics in healthcare has revolutionized the industry, ushering in a
new era of personalized and patient-centric approaches to healthcare delivery. This review …
new era of personalized and patient-centric approaches to healthcare delivery. This review …
Federated learning for healthcare applications
Due to the fast advancement of artificial intelligence (AI), centralized-based models have
become critical for healthcare tasks like in medical image analysis and human behavior …
become critical for healthcare tasks like in medical image analysis and human behavior …
Decentralized Learning in Healthcare: A Review
Recent developments in deep learning have contributed to numerous success stories in
healthcare. The performance of a deep learning model generally improves with the size of …
healthcare. The performance of a deep learning model generally improves with the size of …
[HTML][HTML] Federated Deep Learning for Wireless Capsule Endoscopy Analysis: Enabling Collaboration Across Multiple Data Centers for Robust Learning of Diverse …
Wireless capsule endoscopy (WCE) is a revolutionary diagnostic method for small bowel
pathology. The manual perusal of the resulting lengthy and redundant videos is …
pathology. The manual perusal of the resulting lengthy and redundant videos is …
Optimizing pix2pix gan with attention mechanisms for ai-driven polyp segmentation in iomt-enabled smart healthcare
This paper introduces an innovative approach for automated polyp segmentation in
colonoscopy images, deploying an enhanced Pix2Pix Generative Adversarial Network …
colonoscopy images, deploying an enhanced Pix2Pix Generative Adversarial Network …
[HTML][HTML] Medical Imaging Applications of Federated Learning
Since its introduction in 2016, researchers have applied the idea of Federated Learning (FL)
to several domains ranging from edge computing to banking. The technique's inherent …
to several domains ranging from edge computing to banking. The technique's inherent …
[HTML][HTML] A systematic review on diabetic retinopathy detection and classification based on deep learning techniques using fundus images
D Bhulakshmi, DS Rajput - PeerJ Computer Science, 2024 - peerj.com
Diabetic retinopathy (DR) is the leading cause of visual impairment globally. It occurs due to
long-term diabetes with fluctuating blood glucose levels. It has become a significant concern …
long-term diabetes with fluctuating blood glucose levels. It has become a significant concern …
Free Lunch for Federated Remote Sensing Target Fine-Grained Classification: A Parameter-Efficient Framework
Remote Sensing Target Fine-grained Classification (TFGC) is of great significance in both
military and civilian fields. Due to location differences, growth in data size, and centralized …
military and civilian fields. Due to location differences, growth in data size, and centralized …