Representación conceptual de imágenes médicas digitales: Integración de Contexto y Contenido Visual

Roa-Martínez, Sandra Milena; Vidotti, Silvana Aparecida Borsetti Gregório; Jorente, María José Vicentini

doi:10.5209/rgid.54719

Cited by 2 publications

(2 citation statements)

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“…Thereby, it is necessary to carry out processes that capture and structure visual data into metadata. [12] discuss this process, presenting a conceptual framework capable of structuring the visual and context content (non-visual information) of medical digital images. There is a possibility of extrapolating the process to other types of images since the representation of syntactic visual content is provided by feature extraction techniques that apply to all kinds of digital images.…”

Section: Resultsmentioning

confidence: 99%

“…Figure 1 Figure 1 shows how the representation of an image, with both visual and non-visual metadata, can be published in datasets following the principles of Semantic Web and Data Web, performing the enrichment process. For this purpose, it is first necessary to find a way to perform a syntactic, semantic, and non-visual representation that considers both visual content and non-visual information as the conceptual framework for medical images proposed by [12]. This framework demonstrates how this can occur in a conceptual representation of a medical image.…”

Section: Resultsmentioning

confidence: 99%

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Digital Image Representation Model Enriched with Semantic Web Technologies: Visual and Non-Visual Information

Roa-Martínez,

Coneglian,

Vidotti

2023

Rev. Fac. Ing.

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The types of content of digital images, visual (syntactic and semantic) and non-visual, cause the complexity of their representation. Considering these contents separately hinders digital image retrieval because this creates a gap between the contents of the image and its representation. Therefore, this work aims to present a representation model of visual and non-visual information of digital images, with semantic enrichment through the Semantic Web technologies. For that, a qualitative methodology with a bibliographical approach was used. Theoretical subsidies of the topics addressed were sought, and it has an applied focus since it proposes a model and its exemplification. The developed model depicts the representation image process and allows the semantic enrichment of the data. This enrichment facilitates the retrieval in multiple contexts with technologies that favor the use of the data through inferences. Also, a use case with digital medical images is presented, demonstrating the feasibility of the proposal. It is concluded that the representation of visual and non-visual content aims to improve the way images are retrieved in digital information environments. The junction of the content and the context of images should be considered, even though search mechanisms usually treat this separately due to the disaggregation of image representation itself.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%