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dc.contributor.authorAlférez Baquero, Edwin Santiago
dc.contributor.authorMerino, Anna
dc.contributor.authorMújica Delgado, Luis Eduardo
dc.contributor.authorRuiz Ordóñez, Magda
dc.contributor.authorBigorra, Laura
dc.contributor.authorRodellar Benedé, José
dc.identifier.citationAlférez Baquero, Edwin Santiago [et al.]. Digital blood image processing and fuzzy clustering for detection and classification of atypical lymphoid B cells. A: "Jornades de recerca EUETIB". Barcelona: 2013, p. 1-12.
dc.description.abstractAutomated systems for digital peripheral blood (PB) cell analysis operate most effectively in non-pathological samples. The paper deals with the automatic classification of atypical lymphoid cells using digital image processing. The problem has been approached through a 3-step procedure: 1) Watershed segmentation of nucleus, cytoplasm and peripheral cell zone; 2) feature extraction for each region; and 3) classification using fuzzy c-means. The paper has proposed a new methodology that has been able to automatically classify with high precision three types of lymphoid cells: normal, Hairy Cell Leukemia cells and Chronic Lymphocytic Leukemia cells. This methodology, combining human medical expertise with mathematical and engineering tools, may contribute to improve the efficiency of the hematology laboratory.
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
dc.subject.otherDigital image processing
dc.subject.otherPeripheral blood
dc.titleDigital blood image processing and fuzzy clustering for detection and classification of atypical lymphoid B cells
dc.typeConference report
dc.subject.lemacImatges -- Processament
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
local.citation.authorAlférez Baquero, Edwin Santiago; Merino, Anna; Mújica Delgado, Luis Eduardo; Ruiz Ordóñez, Magda; Bigorra, Laura; Rodellar Benedé, José
local.citation.publicationNameJornades de recerca EUETIB

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