Sparse Representation for Detection of Microcalcification Clusters
نویسندگان
چکیده
منابع مشابه
Sparse Representation for Detection of Microcalcification Clusters
We present an approach to detect MCs in mammograms by casting the detection problem as finding sparse representations of test samples with respect to training samples. The ground truth training samples of MCs in mammograms are assumed to be known as a priori. From these samples of the interest object class, a vocabulary of information-rich object parts is automatically constructed. The sparse r...
متن کاملContrast Enhancement of Mammograms for Rapid Detection of Microcalcification Clusters
Introduction Breast cancer is one of the most common types of cancer among women. Early detection of breast cancer is the key to reducing the associated mortality rate. The presence of microcalcifications clusters (MCCs) is one of the earliest signs of breast cancer. Due to poor imaging contrast of mammograms and noise contamination, radiologists may overlook some diagnostic signs, specially t...
متن کاملcontrast enhancement of mammograms for rapid detection of microcalcification clusters
introduction breast cancer is one of the most common types of cancer among women. early detection of breast cancer is the key to reducing the associated mortality rate. the presence of microcalcifications clusters (mccs) is one of the earliest signs of breast cancer. due to poor imaging contrast of mammograms and noise contamination, radiologists may overlook some diagnostic signs, specially t...
متن کاملContrast Enhancement of Mammograms for Rapid Detection of Microcalcification Clusters
Introduction Breast cancer is one of the most common types of cancer among women. Early detection of breast cancer is the key to reducing the associated mortality rate. The presence of microcalcifications clusters (MCCs) is one of the earliest signs of breast cancer. Due to poor imaging contrast of mammograms and noise contamination, radiologists may overlook some diagnostic signs, specially th...
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Hyperspectral data in Remote Sensing which have been gathered with efficient spectral resolution (about 10 nanometer) contain a plethora of spectral bands (roughly 200 bands). Since precious information about the spectral features of target materials can be extracted from these data, they have been used exclusively in hyperspectral target detection. One of the problem associated with the detect...
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ژورنال
عنوان ژورنال: TELKOMNIKA Indonesian Journal of Electrical Engineering
سال: 2012
ISSN: 2087-278X,2302-4046
DOI: 10.11591/telkomnika.v10i3.616