A Comprehensive Survey of IoT-based Medical Image Processing in Healthcare Applications
DOI:
https://doi.org/10.52783/jns.v14.3046Keywords:
IoT, Medical Image Processing, Healthcare Applications, Remote Monitoring, Diagnostics, Machine Learning, Telemedicine, Healthcare DevicesAbstract
This research work examines the convergence of the Internet of Things (IoT) and medical image processing within the healthcare sector, focusing on how IoT innovations are transforming diagnostic practices and enabling remote monitoring of patients. The integration of IoT in medical imaging systems facilitates the real-time collection, transmission, and analysis of medical images, significantly enhancing diagnostic accuracy and treatment efficiency. This article reviews the current methodologies in IoT-based medical image processing, identifies key trends in the field, and discusses the challenges such as data security, integration issues, and the need for efficient computational models. Additionally, it highlights the opportunities for IoT to improve healthcare delivery, especially in underserved regions. The article aims to provide a comprehensive survey of the state of the art in IoT-enabled medical imaging technologies and their potential for future healthcare advancements.
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