Classification of microcalcifications on digital mammograms based of FPGA

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorInstituto Federal de São Paulo-
Autor(es): dc.creatorDócusse, T. A. [UNESP]-
Autor(es): dc.creatorda Silva, A. C.R. [UNESP]-
Autor(es): dc.creatorPereira, A. S. [UNESP]-
Autor(es): dc.creatorMarranghello, N. [UNESP]-
Data de aceite: dc.date.accessioned2022-08-04T22:05:35Z-
Data de disponibilização: dc.date.available2022-08-04T22:05:35Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2014-01-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1201/b15810-57-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/220631-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/220631-
Descrição: dc.descriptionBreast cancer is a disease that is the death cause of many women around the world [2] and the best way to treat this disease is by detecting it in its early stages and starting the treatment right away [6]. As computers can be used to manipulate images, one way to aid radiologists in breast cancer early diagnosis is by the detection and classification of microcalcifications on digital mammograms, small calcium accumulations [3] that can be the first sign of a tumor that cannot yet be detected by palpable exams. Michele Le Gal developed a classification scheme to aid radiologists to determine whether a breast tumor is malignant or not without the need for surgeries [5], reducing the need for therapies and recurrent treatment [6]. This classification scheme is based on the shape of microcalcifications, and Figure 1 shows samples from each type of microcalcification, while Table 1 shows the percentage of malignant cancer associated with each type of microcalcification.-
Descrição: dc.descriptionSão Paulo State University Departamento de Engenharia Elétrica-
Descrição: dc.descriptionInstituto Federal de São Paulo-
Descrição: dc.descriptionSão Paulo State University Departamento de Ciência de Computação e Estatística-
Descrição: dc.descriptionSão Paulo State University Departamento de Engenharia Elétrica-
Descrição: dc.descriptionSão Paulo State University Departamento de Ciência de Computação e Estatística-
Formato: dc.format323-324-
Idioma: dc.languageen-
Relação: dc.relationComputational Vision and Medical Image Processing IV - Proceedings of Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013-
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Título: dc.titleClassification of microcalcifications on digital mammograms based of FPGA-
Aparece nas coleções:Repositório Institucional - Unesp

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