Results 181 to 190 of about 29,543 (232)
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On the statistical nature of mammograms
Medical Physics, 1999We show that digitized mammograms can be considered as evolving from a simple process. A given image results from passing a random input field through a linear filtering operation, where the filter transfer function has a self-similar characteristic. By estimating the functional form of the filter and solving the corresponding filtering equation, the ...
J J, Heine +3 more
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Detection of spicules in mammograms
Proceedings of International Conference on Image Processing, 2002The objective of this paper is to propose a method to automatically detect spicule shadows in mammograms. The method is consisted of two steps, enhancement and feature selection. First, spicule shadows are enhanced by using a newly developed operation.
Hao Jiang +3 more
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Textural Assessment in Digital Mammograms
2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006This work focuses on testing textural and morphological parameters to assess characteristic features of digital mammograms. The selected images were radiological studies from the Institute Nacional de Cancerologia in Mexico City, evaluated as BI-RADS 4 or 5, meaning "probably malign" or "malign" findings, respectively.
Flavio E. Trujillo-Zamudio +3 more
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Using Autoencoders for Mammogram Compression
Journal of Medical Systems, 2009This paper presents the results obtained for medical image compression using autoencoder neural networks. Since mammograms (medical images) are usually of big sizes, training of autoencoders becomes extremely tedious and difficult if the whole image is used for training.
Chun Chet Tan, Chikkannan Eswaran
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The Mammogram That Cried Wolfe
New England Journal of Medicine, 2007That mammographic density is an important risk factor for breast cancer was first recognized by Wolfe in the 1970s.
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Detection of stellate distortions in mammograms
IEEE Transactions on Medical Imaging, 1996Malignant densities in mammograms have an irregular appearance and frequently are surrounded by a radiating pattern of linear spicules. In this paper a method is described to detect such stellate patterns. This method is based on statistical analysis of a map of pixel orientations.
Karssemeijer, N., Brake, G. ten
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Mammogram Inspection by Computer
IEEE Transactions on Biomedical Engineering, 1979We have considered the problem of computerized picture processing of mammographic images for the early detection of breast cancer by determination of the very significant microcalcifications. Brightness measures, gray-level statistics, and a compactness measure are applied in a decision tree to characterize the candidate objects.
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Enhancement of mammograms: experimental results
Proceedings of 3rd IEEE International Conference on Image Processing, 2002For the purpose of enhancing mammographic images, the authors introduce filters based on anisotropic diffusion, and they investigate their relations with classical methods like median, weighted median and tree-structured filters. The performances of the different techniques are quantitatively evaluated and discussed.
G. Boccignone, A. Picariello
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Improving the mammogram images by intelligibility mammogram enhancement method
2018 2nd International Conference on Inventive Systems and Control (ICISC), 2018Image enhancement plays a key role in mammography for better analysis of breast cancer detection. Poor quality of mammogram images may produce ambiguous assumptions about the results in breast cancer predictions. Existing image enhancement methods such as median filter, morphological method, wavelet transformation, contrast stretching are produced ...
R Suresh +2 more
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