Modelling mammographic microcalcification clusters using persistent mereotopology
نویسندگان
چکیده
منابع مشابه
Modelling mammographic microcalcification clusters using persistent mereotopology
In mammographic imaging, the presence of microcalcifications, small deposits of calcium in the breast, is a primary indicator of breast cancer. However, not all microcalcifications are malignant and their distribution within the breast can be used to indicate whether clusters of microcalcifications are benign or malignant. Computer-aided diagnosis (CAD) systems can be employed to help classify ...
متن کاملTopological Modelling and Classification of Mammographic Microcalcification Clusters
Goal: The presence of microcalcification clusters is a primary sign of breast cancer; however, it is difficult and time consuming for radiologists to classify microcalcifications as malignant or benign. In this paper, a novel method for the classification of microcalcification clusters in mammograms is proposed. Methods: The topology/connectivity of individual microcalcifications is analysed wi...
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Computer-aided diagnosis techniques in medical imaging are developed for the automated differentiation between benign and malignant lesions and go beyond computer-aided detection by providing cancer likelihood for a detected lesion given image and/or patient characteristics. The goal of this study was the development and evaluation of a computer-aided detection and diagnosis algorithm for mammo...
متن کاملCHEN ET AL.: CLASSIFICATION OF MICROCALCIFICATION CLUSTERS Classification of Microcalcification Clusters Using Topological Structure Features
The presence of microcalcification clusters is a primary sign of breast cancer. It is difficult and time consuming for radiologists to diagnose microcalcifications. In this paper, we present a novel method for the classification of malignant and benign microcalcification clusters in mammograms. We analyse the topology of individual microcalcifications within a cluster using multiscale morpholog...
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...
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ژورنال
عنوان ژورنال: Pattern Recognition Letters
سال: 2014
ISSN: 0167-8655
DOI: 10.1016/j.patrec.2014.04.008