Comput Methods Programs Biomed - Technique for preprocessing of digital mammogram.

Tópicos

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{ method(2212) result(1239) propos(1039) }
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{ detect(2391) sensit(1101) algorithm(908) }
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{ imag(1947) propos(1133) code(1026) }
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Resumo

Digital mammogram has emerged as the most popular screening technique for early detection of breast cancer and other abnormalities in human breast tissue. It provides us opportunities to develop algorithms for computer aided detection (CAD). In this paper we have proposed three distinct steps. The initial step involves contrast enhancement by using the contrast limited adaptive histogram equalization (CLAHE) technique. Then define the rectangle to isolate the pectoral muscle from the region of interest (ROI) and finally suppress the pectoral muscle using our proposed modified seeded region growing (SRG) algorithm. The proposed algorithms were extensively applied on all the 322 mammogram images in MIAS database resulting in complete pectoral muscle suppression in most of the images. Our proposed algorithm is compared with other segmentation methods showing superior results in comparison.

Resumo Limpo

digit mammogram emerg popular screen techniqu earli detect breast cancer abnorm human breast tissu provid us opportun develop algorithm comput aid detect cad paper propos three distinct step initi step involv contrast enhanc use contrast limit adapt histogram equal clahe techniqu defin rectangl isol pector muscl region interest roi final suppress pector muscl use propos modifi seed region grow srg algorithm propos algorithm extens appli mammogram imag mia databas result complet pector muscl suppress imag propos algorithm compar segment method show superior result comparison

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