An Efficient Method for Breast Mass Segmentation and Classification in Mammographic Images
نویسندگان
چکیده
منابع مشابه
An Efficient Method for Breast Mass Segmentation and Classification in Mammographic Images
According to the World Health Organization, breast cancer is the main cause of cancer death among women in the world. Until now, there are no effective ways of preventing this disease. Thus, early screening and detection is the most effective method for rising treatment success rates and reducing death rates due to breast cancer. Mammography is still the most used as a diagnostic and screening ...
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Mass abnormality segmentation is a vital step for the medical diagnostic process and is attracting more and more the interest of many research groups. Currently, most of the works achieved in this area have used the Gray Level Co-occurrence Matrix (GLCM) as texture features with a region-based approach. These features come in previous phase for segmentation stage or are using as inputs to class...
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Abstrac t – Mammography is the most e ffect ive too l no w avai lab le for an ear ly diagnosis o f breast cancer . Ho wever , the de tec tion of cancer signs in mammograms is a d i ff icul t task o wing to the grea t number o f non patho logical struc tures which are also present in the image. I t has been shown t hat in current breas t cancer screenings 10%–25% of the tumors are missed by the ...
متن کاملA Spatial Shape Constrained Clustering Method for Mammographic Mass Segmentation
A novel clustering method is proposed for mammographic mass segmentation on extracted regions of interest (ROIs) by using deterministic annealing incorporating circular shape function (DACF). The objective function reported in this study uses both intensity and spatial shape information, and the dominant dissimilarity measure is controlled by two weighting parameters. As a result, pixels having...
متن کاملHistogram based Contrast Enhancement Method for Mammographic Breast Images
Enhancement of images is applied over all the mammographic images before their diagnosis. The contrast of mammograms is always required to be good so that further investigation of breast cancer images is accurate. Here HE (histogram equalization), HS (histogram specification) and LE (local enhancement) methods are discussed for enhancing and improving the quality of mammographic images and thei...
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ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2017
ISSN: 2156-5570,2158-107X
DOI: 10.14569/ijacsa.2017.081134