Detection of Spiculated Lesions in Mammograms
نویسندگان
چکیده
In this paper, we present a new technique for the detection of spiculated masses in digitized mammograms. The techniques consists of two stages, enhancement of spiculations followed by the detection of the location where they converge. We describe a new algorithm for the enhancement and a new set of linear image filters which we have created for the detection stage. We have tested the algorithm on digitized mammograms obtained from the Digital Database for Screening Mammography (DDSM). Results of the detection algorithm are shown. Finally we show that the algorithm may be modified for the detection of architec-
منابع مشابه
Model-based detection of spiculated lesions in mammograms
Computer-aided mammographic prompting systems require the reliable detection of a variety of signs of cancer. In this paper we concentrate on the detection of spiculated lesions in mammograms. A spiculated lesion is typically characterized by an abnormal pattern of linear structures and a central mass. Statistical models have been developed to describe and detect both these aspects of spiculate...
متن کاملMultiresolution detection of spiculated lesions in digital mammograms
In this paper we present a novel multiresolution scheme for the detection of spiculated lesions in digital mammograms. First, a multiresolution representation of the original mammogram is obtained using a linear phase nonseparable 2-D wavelet transform. A set of features is then extracted at each resolution in the wavelet pyramid for every pixel. This approach addresses the difficulty of predet...
متن کاملA model-based framework for the detection of spiculated masses on mammography.
The detection of lesions on mammography is a repetitive and fatiguing task. Thus, computer-aided detection systems have been developed to aid radiologists. The detection accuracy of current systems is much higher for clusters of microcalcifications than for spiculated masses. In this article, the authors present a new model-based framework for the detection of spiculated masses. The authors hav...
متن کاملModel based approach for Detection of Architectural Distortions and Spiculated Masses in Mammograms
This paper investigates detection of Architectural Distortions (AD) and spiculated masses in mammograms based on their physical characteristics. We have followed a model based approach which separates the abnormal patterns of AD and spiculated masses from normal breast tissue. The model parameters are retrieved from Gabor filters which characterize the texture features and synthetic patterns we...
متن کاملUsing Wavelet-Based Features to Identify Masses in Dense Breast Parenchyma
Automated detection of masses on mammograms is challenged by the presence of dense breast parenchyma. The aim of this study is to investigate the feasibility of wavelet-based feature analysis in identifying spiculated and circumscribed masses in dense breast parenchyma. The method includes an edge detection step for breast border identification and employs Gaussian mixture modeling for dense pa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2003