Abstract:
:The detection of clustered microcalcifications can help the radiologist to detect early breast cancer. Microcalcifications exhibit some important characteristics, such as small size and high luminosity. Use of a computer-aided diagnosis (CAD) method can prevent them being overlooked. In this report, a multiresolution analysis is performed based on a multilevel wavelet transformation. Decomposition produces sub-band images which become visible only as details of the different scales. Thereafter, all the images will be combined in a final image, in order to obtain an image that contains all the interest details at the scale where microcalcifications tend to appear. Once the image, called detail image, is obtained, it is necessary to determine which details correspond with microcalcifications. Statistical analysis of the histogram permits classification of the zones likely to contain microcalcifications. Applying this statistical techniques over the whole image and representing the results in a two-dimensional map, clustered microcalcification regions are clearly distinguishable.
journal_name
J Digit Imagingjournal_title
Journal of digital imagingauthors
Mata Campos R,Vidal EM,Nava E,Martínez-Morillo M,Sendra Fdoi
10.1007/BF03167672subject
Has Abstractpub_date
2000-05-01 00:00:00pages
221-5issue
2 Suppl 1eissn
0897-1889issn
1618-727Xjournal_volume
13pub_type
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