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dc.creatorGamarra, Margarita
dc.creatorZurek, Eduardo
dc.creatorNieto Bernal, Wilson
dc.creatorJimeno, Miguel
dc.creatorSierra, Deibys
dc.date.accessioned2021-02-02T22:13:24Z
dc.date.available2021-02-02T22:13:24Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/11323/7816
dc.description.abstractThe advancement in biological and medical image acquisitions has allowed the development of numerous investigations in different fields supported by image analysis, from cell to physiological level. The complexity in the treatment of data, generated by image analysis, requires a structured methodology for software development. In this paper we proposed a framework to develop a software solution with a Service-Oriented Architecture (SOA) applied to the analysis of biological images. The framework is completed with a novel image analysis methodology that would help researchers to achieve better results in their image analysis projects. We evaluate our proposal in a scientific project related to cell image analysis.spa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherCorporación Universidad de la Costaspa
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceLecture Notes in Computer Sciencespa
dc.subjectSpiral methodologyspa
dc.subjectBio-image informaticsspa
dc.subjectCell image processingspa
dc.subjectRespiratory Syncytial Virusspa
dc.titleSpiral-Based model for software architecture in bio-image analysis: A case study in RSV cell infectionspa
dc.typearticlespa
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dc.type.hasVersioninfo:eu-repo/semantics/publishedVersionspa
dc.source.urlhttps://link.springer.com/chapter/10.1007/978-3-030-47679-3_3spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.identifier.doihttps://doi.org/10.1007/978-3-030-47679-3_3


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