Generating Realistic Mass Lesions in Digital Mammograms Using Statistical Models
نویسندگان
چکیده
We describe a model-based method of generating realistic mass lesions and placing them in appropriate locations on normal mammogram backgrounds. These lesions are highly irregular in shape and have no consistent internal landmarks. Thin plate splines are used both in modelling the background to each lesion, and to warp examples when training an appearance model.
منابع مشابه
Simulation and assessment of realistic breast lesions
A new method of generating realistic three dimensional simulated breast 12 lesions known as diffusion limited aggregation (DLA) is presented, and compared 13 with the random walk (RW) method. Both methods of lesion simulation utilize a 14 physics-based method for inserting these simulated lesions into 2D clinical mammogram 15 images that takes into account the polychromatic X-ray spectrum, loca...
متن کاملEffect of dose reduction on the detection of mammographic lesions: a mathematical observer model analysis.
The effect of reduction in dose levels normally used in mammographic screening procedures on the detection of breast lesions were analyzed. Four types of breast lesions were simulated and inserted into clinically-acquired digital mammograms. Dose reduction by 50% and 75% of the original clinically-relevant exposure levels were simulated by adding corresponding simulated noise into the original ...
متن کاملSUBCLASS FUZZY-SVM CLASSIFIER AS AN EFFICIENT METHOD TO ENHANCE THE MASS DETECTION IN MAMMOGRAMS
This paper is concerned with the development of a novel classifier for automatic mass detection of mammograms, based on contourlet feature extraction in conjunction with statistical and fuzzy classifiers. In this method, mammograms are segmented into regions of interest (ROI) in order to extract features including geometrical and contourlet coefficients. The extracted features benefit from...
متن کاملDetecting Stellate Lesions in Mammograms via Statistical Models
Malignant breast lesions in x–ray mammograms are often characterised by abnormal patterns of linear structures. Architectural distortions and stellate lesions are examples of patterns frequently presenting with an appearance of radiating lines. Attempts to automatically detect these abnormalities have generally concentrated on features of known importance, such as radiating linear structure con...
متن کاملModel-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 کامل