Wavelet based computer aided detection of abnormalities in digital X-ray mammograms

A method is presented for the automatic detection of microcalcification clusters in digital X-ray mammograms. This utilises the 2D wavelet transform as an efficient means of reducing unwanted image structure prior to more conventional spatial and morphological operations to find potential microcalci...

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Hauptverfasser: McLeod, G, Cowen, A.R, Parkin, G.J.S
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Parkin, G.J.S
description A method is presented for the automatic detection of microcalcification clusters in digital X-ray mammograms. This utilises the 2D wavelet transform as an efficient means of reducing unwanted image structure prior to more conventional spatial and morphological operations to find potential microcalcifications. In addition, preliminary research into a novel technique for detection of subtle low contrast masses using wavelet compression is also introduced.
doi_str_mv 10.1049/cp:19971012
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Biological and medical sciences
Biology and medical computing
Computer vision and image processing techniques
Genital system. Mammary gland
Investigative techniques, diagnostic techniques (general aspects)
Medical sciences
Optical information, image and video signal processing
Patient diagnostic methods and instrumentation
Radiation and radioactivity applications in biomedicine
Radiodiagnosis. Nmr imagery. Nmr spectrometry
X-rays and particle beams (medical uses)
title Wavelet based computer aided detection of abnormalities in digital X-ray mammograms
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