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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Bibliographische Detailangaben
Hauptverfasser:	McLeod, G, Cowen, A.R, Parkin, G.J.S
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	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)
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Beschreibung
Zusammenfassung:	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.
ISSN:	0537-9989
DOI:	10.1049/cp:19971012