Parcero Iglesias, E.; Segrelles Quilis, JD.; Vidal Gimeno, VE.; Verdú Martín, GJ. (2015). Fuzzy PGA filter technique performance on the mini-MIAS database of mammograms. International Journal of Image Mining. 1(2/3):189-207. https://doi.org/10.1504/IJIM.2015.073016
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/83186
Title:
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Fuzzy PGA filter technique performance on the mini-MIAS database of mammograms
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Author:
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Parcero Iglesias, Estíbaliz
Segrelles Quilis, José Damián
Vidal Gimeno, Vicente Emilio
Verdú Martín, Gumersindo Jesús
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UPV Unit:
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Universitat Politècnica de València. Instituto de Seguridad Industrial, Radiofísica y Medioambiental - Institut de Seguretat Industrial, Radiofísica i Mediambiental
Universitat Politècnica de València. Instituto de Instrumentación para Imagen Molecular - Institut d'Instrumentació per a Imatge Molecular
Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials
Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica
Universitat Politècnica de València. Instituto Universitario de Aplicaciones de las Tecnologías de la Información - Institut Universitari d'Aplicacions de les Tecnologies de la Informació
Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny
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Issued date:
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Abstract:
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[EN] Medical image processing promises major advances in medicine
as higher fidelity images are produced, e.g., filters improve image quality to
facilitate diagnosis or reduce radiation absorption. We evaluated the fuzzy ...[+]
[EN] Medical image processing promises major advances in medicine
as higher fidelity images are produced, e.g., filters improve image quality to
facilitate diagnosis or reduce radiation absorption. We evaluated the fuzzy peer
group averaging technique in terms of effectiveness and stability. Effectiveness
was measured by applying the filter to a set of mammograms and comparing
the results to the obtained by different methods. This technique obtained the
best peak signal-to-noise ratio values. Stability means that a filter applied to a
mammogram must perform adequately in any case regardless of the type of
tissue, the class of abnormality, and the severity. Thus, this part of the study
focused on validating the stability of the fuzzy peer group averaging technique
for its use in mammograms by demonstrating its effectiveness regardless the
case. The normal distribution of the peak signal-to-noise ratio in the frequency
histograms obtained validated this assumption.
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Subjects:
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Medical image
,
Filter
,
Fuzzy peer group average
,
Fuzzy PGA
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Mammogram
,
Mini-MIAS
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Radiation dose
,
Grid infrastructure
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Copyrigths:
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Cerrado |
Source:
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International Journal of Image Mining. (issn:
2055-6047
)
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DOI:
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10.1504/IJIM.2015.073016
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Publisher:
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Inderscience
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Publisher version:
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http://dx.doi.org/10.1504/IJIM.2015.073016
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Conference name:
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8th Iberian Grid Infrastructure Conference
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Conference place:
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Aveiro, Portugal
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Conference date:
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September 8-10, 2014
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Project ID:
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info:eu-repo/grantAgreement/MICINN//TIN2011-26254/ES/COMPUTACION DE ALTAS PRESTACIONES Y SISTEMAS HIBRIDOS/
info:eu-repo/grantAgreement/GVA//PROMETEOII%2F2014%2F008/ES/New improved capacities in 3d-VALKIN (Valencian Neutronic Kinetisc). N3D-VALKIN/
info:eu-repo/grantAgreement/GVA//GV%2F2014%2F036/
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Thanks:
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This work has been supported by the Universitat Politècnica de València and partially funded by the project ‘Computación de Altas Prestaciones y Sistemas Híbridos’ (TIN2011-26254) from the Ministerio Ciencia e Innovación, ...[+]
This work has been supported by the Universitat Politècnica de València and partially funded by the project ‘Computación de Altas Prestaciones y Sistemas Híbridos’ (TIN2011-26254) from the Ministerio Ciencia e Innovación, and the project ‘ANITRAN’ (PROMETEOII/2014/008) from the Generalitat Valenciana. The authors wish to extend special thanks to the Conselleria d’Educación, Cultura i Esport de la Generalitat Valenciana (GVA) for the financial support received to develop the project ‘Evolución de un modelo de datos para el análisis de informes estructurados a un contexto Big-Data’, with reference GV/2014/036.
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Type:
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Artículo
Comunicación en congreso
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