Effect of Pixel Resolution on Texture Features of Breast Masses in Mammograms

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dc.contributor.authorRangayyan, Rangaraj M.
dc.contributor.authorNguyen, Thanh M.
dc.contributor.authorFABIO JOSE AYRES
dc.contributor.authorNandi, Asoke K.
dc.creatorRangayyan, Rangaraj M.
dc.creatorNguyen, Thanh M.
dc.creatorNandi, Asoke K.
dc.date.accessioned2024-11-08T22:16:12Z
dc.date.available2024-11-08T22:16:12Z
dc.date.issued2010
dc.description.abstractThe effect of pixel resolution on texture features computed using the gray-level co-occurrence matrix (GLCM) was analyzed in the task of discriminating mammographic breast lesions as benign masses or malignant tumors. Regions in mammograms related to 111 breast masses, including 65 benign masses and 46 malignant tumors, were analyzed at pixel sizes of 50, 100, 200, 400, 600, 800, and 1,000 μm. Classification experiments using each texture feature individually provided accuracy, in terms of the area under the receiver operating characteristics curve (AUC), of up to 0.72. Using the Bayesian classifier and the leave-one-out method, the AUC obtained was in the range 0.73 to 0.75 for the pixel resolutions of 200 to 800 μm, with 14 GLCM-based texture features using adaptive ribbons of pixels around the boundaries of the masses. Texture features computed using the ribbons resulted in higher classification accuracy than the same features computed using the corresponding regions within the mass boundaries. The t test was applied to AUC values obtained using 100 repetitions of random splitting of the texture features from the ribbons of masses into the training and testing sets. The texture features computed with the pixel size of 200 μm provided the highest average AUC with statistically highly significant differences as compared to all of the other pixel sizes tested, except 100 μm.en
dc.formatDigital
dc.format.extentp. 547 – 553
dc.identifier.issn2948-2933
dc.identifier.urihttps://repositorio.insper.edu.br/handle/11224/7208
dc.language.isoInglês
dc.relation.ispartofJ Digit Imaging
dc.subjectBreast canceren
dc.subjectBreast massesen
dc.subjectHaralick's texture featuresen
dc.subjectMammographyen
dc.subjectMargins of massesen
dc.subjectPixel sizeen
dc.subjectPixel resolutionen
dc.subjectRibbon around a massen
dc.subjectTexture analysisen
dc.subjectTexture featuresen
dc.subjectTumor classificationen
dc.subjectDigital image processingen
dc.subjectImage analysisen
dc.subjectMammographyen
dc.titleEffect of Pixel Resolution on Texture Features of Breast Masses in Mammograms
dc.typejournal article
dspace.entity.typePublication
local.identifier.sourceUrihttps://link.springer.com/article/10.1007/s10278-009-9238-0#citeas
local.publisher.countryNão Informado
local.subject.cnpqCIENCIAS DA SAUDE::MEDICINA::RADIOLOGIA MEDICA
local.subject.cnpqCIENCIAS DA SAUDE::MEDICINA::CLINICA MEDICA::CANCEROLOGIA
local.subject.cnpqCIENCIAS DA SAUDE::MEDICINA::RADIOLOGIA MEDICA
local.subject.cnpqENGENHARIAS::ENGENHARIA BIOMEDICA
local.subject.cnpqCIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
local.subject.cnpqCIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA::ESTATISTICA
local.subject.cnpqCIENCIAS BIOLOGICAS::GENETICA::GENETICA HUMANA E MEDICA
local.subject.cnpqCIENCIAS BIOLOGICAS::MORFOLOGIA::CITOLOGIA E BIOLOGIA CELULAR
local.typeArtigo Científico
publicationvolume.volumeNumber23
relation.isAuthorOfPublication37971022-7c69-4e93-9186-4c9431a1f95c
relation.isAuthorOfPublication.latestForDiscovery37971022-7c69-4e93-9186-4c9431a1f95c
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