Cloud computing for brain segmentation - a perspective from the technology and evaluations

Abstract

This paper examines the potential benefits that Cloud Computing can bring to the area of brain segmentation with regard to satisfactory technical and user evaluations. It explains eleven APIs associated with each brain segment, as well as the process of capturing data in regard to each segment. Functionality and experiments associated with each API are discussed. Dancing is chosen because data related to fast and skilled movements can be captured more easily. The results captured for each brain segment are discussed and used to explain why some segments are more active in dancing. With an emphasis in testing to ensure a high quality of data analysis and visualization, eleven Cloud APIs can produce results quickly and accurately. The first evaluation is the use of brain segmentations developed for Medical Cloud Computing Education (MCCE). Results of analysis confirm that Cloud Computing can offer a 20 % improvement in learning satisfaction. The second evaluation is focused on recapturing a lost skill. Results confirm that volunteers have their heartbeat, blood pressure, emotion, body co-ordination and vision at their peak as demonstrated by Cloud APIs in numerical analysis and visualization. Benefits of using Cloud brain segmentation technology are presented. The use of Cloud Computing can make positive impacts to healthcare informatics, education and cost reduction. Keywords— Healthcare Cloud; brain segmentation technology by Cloud Computing; Medical Cloud Computing Education.

DOI: 10.1504/IJBDI.2014.066954

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Cite this paper

@article{Chang2014CloudCF, title={Cloud computing for brain segmentation - a perspective from the technology and evaluations}, author={Victor Chang}, journal={IJBDI}, year={2014}, volume={1}, pages={192-204} }