Implementing Scalable Image Processing Pipelines in Cloud Environments for Healthcare Imaging Applications

Author(s)	Akshat Bhutiani
Country	USA
Abstract	In order to support healthcare imaging applications, this paper investigates the use of scalable image processing pipelines in cloud environments. A growing number of MRIs, CT scans and X-Rays are producing high resolution images, which means that processing, storing and analyzing these images in real-time requires effective solutions. The study focusses on improving image processing algorithms to use machine learning and utilizing cloud-based infrastructure to build adaptable and affordable pipelines that can handle big datasets. This method seeks to enhance the precision of medical image diagnostics to enable better healthcare outcomes.
Keywords	cloud computing, image processing pipelines, healthcare imaging applications, real-time image analysis, machine learning
Field	Computer Applications
Published In	Volume 3, Issue 1, January-February 2021
Published On	2021-02-17
DOI	https://doi.org/10.36948/ijfmr.2021.v03i01.9977
Short DOI	https://doi.org/g8qqcg

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International Journal For Multidisciplinary Research