Computerized Discrimination of Malignant and Benign Microcalcification Clusters on Mammograms
نویسندگان
چکیده
منابع مشابه
Contrast 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 کاملComputerized classification of malignant and benign microcalcifications on mammograms: texture analysis using an artificial neural network.
We investigated the feasibility of using texture features extracted from mammograms to predict whether the presence of microcalcifications is associated with malignant or benign pathology. Eighty-six mammograms from 54 cases (26 benign and 28 malignant) were used as case samples. All lesions had been recommended for surgical biopsy by specialists in breast imaging. A region of interest (ROI) co...
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 کاملDetection of Microcalcification Clusters in Mammograms Using Curvelet Transform
In this paper we present a new approach for computer aided detection of microcalcifications (MC) clusters in mammograms. The proposed method is done in two stages; the first stage is a preprocessing with histogram, in the second stage the ability of these filtered images in detecting microcalcification is done using the Curvelet Transform. The proposed method is applied to a database of 10 dens...
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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ژورنال
عنوان ژورنال: Japanese Journal of Radiological Technology
سال: 2000
ISSN: 0369-4305,1881-4883
DOI: 10.6009/jjrt.kj00001356837