Advancements in Medical Imaging: A Comprehensive Analysis of Hybrid Compression Techniques Across Various Clinical Applications
Keywords:
Medical Imaging, Hybrid Compression Techniques, Clinical Applications, Advancements, Diagnostic, Image QualityAbstract
The fast advancement of medical imaging technologies has changed diagnostic and treatment planning. These developments have generated large amounts of data, needing suitable transmission and storage technologies. This study tests medical imaging-specific hybrid compression methods in various clinical settings. The inquiry sought data management solutions while retaining diagnostic accuracy. Hybrid Fractal algorithms like Block Burrows-Wheeler Transform-Move To Front (BWT-MTF) are used to combine sophisticated and conventional compression methods. We want to improve compression without sacrificing image quality. The findings show that hybrid compression approaches can keep all diagnostic data while reducing bandwidth and storage. Additionally, we examine how these technologies could alter telemedicine and digital health by making high-quality medical treatment more accessible to more people. This paper emphasizes the need for effective, expandable, and protected data compression solutions to improve medical Image management.
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