Machine Learning based sampling of X-Ray images for a computer-aided detection of Tuberculosis*

Página do item simplificado
dc.contributor.authorFerreira, Fernando
dc.contributor.authorGaspar, Philipp
dc.contributor.authorOliveira, Lukas Müller de
dc.contributor.authorTorres, Rodrigo
dc.contributor.authorAraújo, Micael Veríssimo de
dc.contributor.authorCovas, Carlos Eduardo
dc.contributor.authorBastos, Mayara
dc.contributor.authorTrajamn, Anete
dc.contributor.authorSeixas, José Manoel de
dc.date.accessioned2024-12-12T17:24:48Z
dc.date.available2024-12-12T17:24:48Z
dc.date.issued2021
dc.description.abstractComputer Aided Detection software relies on an annotated data set of X-rays to be developed. The annotation task requires extensive know-how and it is very time-consuming. This work presents a sampling method to select the most relevant images which will be annotated for the development of Tubercu- losis screening platform based on machine learning algorithms. The sampling task optimizes the annotation process by reducing the number of images to be analyzed without compromising the diversity and the significance power of the images in the dataset. In this context, the image relevance is based on similarity and dissimilarity measurements. The experiment consisted in a deep learning feature engineering step, followed by topological analysis based on Self-Organizing Map and K-Means.
dc.identifier.citationFerreira F, Gaspar P, Oliveira LM, Torres R, Araújo MV, Covas CE, Bastos M, Trajman A, Seixas JM. Machine Learning based sampling of X-Ray images for a computer-aided detection of Tuberculosis* [Aprasentação no XV Congresso Brasileiro de Inteligência Computacional: Artigos Apresentados nas Sessões Técnicas CBIC 2021, Joinville, SC, Brasil]. doi: 10.21528/CBIC2021-140.
dc.identifier.otherDOI: 10.21528/CBIC2021-140
dc.identifier.urihttps://dspace.inc.saude.gov.br/handle/123456789/708
dc.language.isoen
dc.publisherSociedade Brasileira de Inteligência Computacional
dc.subjectDeep Learningen
dc.subjectCNNen
dc.subjectSOMen
dc.subjectClusteringen
dc.subjectCAD.en
dc.titleMachine Learning based sampling of X-Ray images for a computer-aided detection of Tuberculosis*
dc.typePresentation
Arquivos
Original bundle
Agora exibindo 1 - 1 de 1
thumbnail.default.alt
Nome:
Ferreira F et al_SBIC.pdf
Tamanho:
85 KB
Formato:
Adobe Portable Document Format
Descrição:
Baixar
License bundle
Agora exibindo 1 - 1 de 1
thumbnail.default.placeholder
Nome:
license.txt
Tamanho:
1.71 KB
Formato:
Item-specific license agreed to upon submission
Descrição:
Baixar
Coleções
Produção Docente