Enhancing Brain Tumor Segmentation Accuracy through Scalable Federated Learning with Advanced Data Privacy and Security Measures

Enhancing Brain Tumor Segmentation Accuracy through Scalable Federated Learning with Advanced Data Privacy and Security Measures

Brain tumor segmentation in medical imaging is a critical task for diagnosis and treatment while preserving patient data privacy and security. Traditional centralized approaches often encounter obstacles in data sharing due to privacy regulations and security concerns, hindering the development of a...

Full description

Bibliographic Details
Main Authors: Faizan Ullah, Muhammad Nadeem, Mohammad Abrar, Farhan Amin, Abdu Salam, Salabat Khan
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Mathematics
Subjects:
brain tumor segmentation
computation cost
data leakage
data privacy
deep learning
federated learning
Online Access:https://www.mdpi.com/2227-7390/11/19/4189

Internet

https://www.mdpi.com/2227-7390/11/19/4189

Similar Items