Yoshida H, Doi K, Nishikawa RM, Giger ML, Schmidt RA. An improved CAD scheme using wavelet transform for detection of clustered microcalcifications in digital mammograms. Acad Radiol 1996; 3:621--7. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
An Automatic Microcalcification Detection System Based .. - Papadopoulos.. (2002) (Correct)
.... Concerning image segmentation and specification of regions of interest (ROIs) several methods have been proposed such as classical image filtering and local thresholding [9,12,39,45] techniques based on mathematical morphology [13,60] stochastic fractal models [25,26] wavelet analysis [3,7,22,23,46,52,56,57] and multiscale analysis based on a specialized Gaussian and Peitgen [32] Furthermore, various classification methodologies have been reported for the characterization of ROI such as, rule based systems [9,12] fuzzy logic systems [11] statistical methods based on Markov random fields [20] and ....
Yoshida H, Doi K, Nishikawa RM, Giger ML, Schmidt RA. An improved CAD scheme using wavelet transform for detection of clustered microcalcifications in digital mammograms. Acad Radiol 1996; 3:621--7.
Using Wavelet Methods to Extract Microcalcifications in Mammograms - Söderström (Correct)
....the above. They suggest that a large weighting factor should be applied to levels where microcalcifications are expected to appear, while low weighting factors should be applied to levels expected to contain noise or background structures. 13.2 Reconstruction Using Selected Details Yoshida et.al [69] propose the following method for extraction of microcalcifications. The method is based on reconstruction using only selected subimages. First the image is subjected to a noise reduction filter. This operation is performed to reduce the effect of film grains and quantum mottle. The filter ....
....is defined by the size and shape of a set of structuring elements, containing all possible combinations of three pixels with four point connectivity. The noise reduction filter is designed to eliminate noise while causing as little corruption as possible to the shape of the microcalcifications [69]. After the filter operation, a three level wavelet decomposition of the image is performed. A set of subimages is then choosen, and the image is reconstructed from these subimages. The choosen subimages are those were the microcalcifications appear enhanced [69] The reconstructed image is of ....
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H. Yoshida, R.N. Nishikawa, M.L. Geiger, K. Doi, and R.A. Schmidt. An improved cad scheme using wavelet transform for detection of clustered microcalcifications in digital mammograms. Academic Radiology, (3), 1996.
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