As the diagnostic power of medical imaging technologies continues to develop, its utilization in healthcare research has proliferated (Sandoval et al. 2018). Consummate with such proliferation has been the aggregation of a large amount of high-quality research medical imaging data across research centres. Henceforth, there is a rising need for an accessible, intuitive, and approachable web interface to organize, visualize, and share the large repertoire of medical imaging data effectively and easily (Sandoval et al. 2018). Since these platforms are complex and aimed at a trained medical or research scientific personnel, efforts to ensure usability are often not the main concern.
CITATION STYLE
Ruel, T., Léger, P. M., Lodygensky, G., Luck, D., Ding, Y., Demolin, B., & Sénécal, S. (2020). The Effect of Experience on Learnability and Usability of a Neuroimaging Platform. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12423 LNCS, pp. 780–789). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-60114-0_51
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