JCSE, vol. 18, no. 2, pp.116-124, June, 2024

DOI: http://dx.doi.org/10.5626/JCSE.2024.18.2.116

Brain Map: Web Implementation for the Management, Visualization, and Segmentation of Brain Tumors in Magnetic Resonance Imaging

Juan Pablo Orellana and Sebastian Quevedo
Academic Unit of Informatics, Computer Science, and Technological Innovation, Research Group in Simulation, Modeling, Analysis, and Accessibility (SMA^2) Catholic University of Cuenca, Cuenca, Ecuador

Abstract: Amidst the backdrop of the continual evolution of digital medicine in the increasingly interconnected world, where data convergence and the safeguarding of information are paramount, the concept of "Brain Map" has emerged, which is a web framework that is specifically designed to improve the management and visualization of brain tumors using medical images. This framework directly addresses the problem with fragmented legacy systems, which limit the efficient management, analysis, and transfer of medical images. The methodology employed in Brain Map integrates technological solutions for both the back-end and the front-end while also incorporating robust protocols that support the secure transfer of clinical data. This ultimately provides the system with its demonstrated ability to centralize and accurately visualize medical images while facilitating the harmonious integration of various complementary technologies. This development represents a breakthrough in the technological evolution of medical record management, thus overcoming the limitations of traditional methods. In doing so, it effectively addresses concerns about interoperability, privacy, and access to sensitive clinical information, and it is also expected to serve as a foundation for future research and clinical applications, thereby contributing to the continued advancement of healthcare modernization.

Keyword: Healthcare technology; Microservices architecture; Integrative framework; Medical image segmentation; Transfer protocols

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