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Computer-aided diagnosis of brain tumors using image enhancement and fuzzy logic

VIANNEY-KINANI, JEAN MARIE and ROSALES-SILVA, ALBERTO J. and GALLEGOS-FUNES, FRANCISCO J. and ARELLANO, ALFONSO (2014) Computer-aided diagnosis of brain tumors using image enhancement and fuzzy logic. DYNA; Vol. 81, núm. 183 (2014); 148-157 Dyna; Vol. 81, núm. 183 (2014); 148-157 2346-2183 0012-7353 .

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URL oficial: http://revistas.unal.edu.co/index.php/dyna/article...

Resumen

A robust medical image processing system depends upon a variety of aspects, including a proper image enhancement, and an optimal segmentation. An algorithm was proposed in this paper to facilitate the implementation of these two steps. First a Magnetic Resonance (MR) image is enhanced via spatial domain filtering and its contrast is improved, next, the image is segmented using fuzzy C-mean clustering, then the region of interest which might be the tumor or edema, is detected and delineated. The key advantage of this image processing pipeline is the simultaneous use of features computed from the intensity properties of the image in a cascading pattern which makes the computation self-contained. Performance evaluation of the proposed algorithm was carried out on brain images from different MRI’s and the algorithm proved to be successful, comparing it with other dedicated applications.

Tipo de documento:Artículo - Article
Información adicional:Derechos de autor reservados
Palabras clave:MRI, Region of interest, Segmentation, Clustering., MRI, Region of interest, Segmentation, Clustering
Unidad administrativa:Revistas electrónicas UN > Dyna
Código ID:36281
Enviado por : Dirección Nacional de Bibliotecas STECNICO
Enviado el día :02 Julio 2014 13:30
Ultima modificación:18 Agosto 2014 21:28
Ultima modificación:18 Agosto 2014 21:28
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