AFM-DViT: A framework for IoT-driven medical image analysis
With the rise of Internet of Things (IoT) in healthcare, automated medical image analysis has become essential for real-time disease detection. However, current models face limitations in handling diverse datasets and ensuring privacy across distributed systems. To address these challenges, we propo...
Saved in:
Main Author: | Jiacheng Yang |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-02-01
|
Series: | Alexandria Engineering Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016824012833 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Advanced artificial intelligence with federated learning framework for privacy-preserving cyberthreat detection in IoT-assisted sustainable smart cities
by: Mahmoud Ragab, et al.
Published: (2025-02-01) -
IoT and Cloud Computing Issues, Challenges and Opportunities: A Review
by: Mohammed Mohammed Sadeeq, et al.
Published: (2021-03-01) -
Blockchain-Enabled Zero Trust Architecture for Privacy-Preserving Cybersecurity in IoT Environments
by: Mohammed A. Aleisa
Published: (2025-01-01) -
A privacy budget adaptive optimization scheme for federated computing power Internet of things
by: MA Wenyu, et al.
Published: (2024-12-01) -
Exploring the Potential of Blockchain Technology in an IoT-Enabled Environment: A Review
by: Deepak, et al.
Published: (2024-01-01)