1967
DOI: 10.1148/89.2.211
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Detection of Radiographic Abnormalities in Mammograms by Means of Optical Scanning and Computer Analysis

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Cited by 198 publications
(64 citation statements)
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“…13 The most important work in the computer analysis of mammograms has been in the detection of two important classes of mammographic abnormality: microcalcifications and masses. A great deal of effort has been put into the development of these techniques and they can be made extremely sensitive.…”
Section: Computer Aids For Mammographymentioning
confidence: 99%
“…13 The most important work in the computer analysis of mammograms has been in the detection of two important classes of mammographic abnormality: microcalcifications and masses. A great deal of effort has been put into the development of these techniques and they can be made extremely sensitive.…”
Section: Computer Aids For Mammographymentioning
confidence: 99%
“…6Y9 Efforts were made as early as 1967 to develop a CAD system for mammography. 10 These systems are designed to help radiologists make earlier and more accurate detection of such features as suspicious masses (MAs) and microcalcifications (MCs) as well as architectural distortions during screening mammography. Funovics et al 11 showed that the sensitivity for breast cancer detection increases significantly when a radiologist uses a CAD system.…”
Section: Introductionmentioning
confidence: 99%
“…The concept of computer-aided diagnosis in mammography has now been around for more than 40 years [1]. Much of the earlier research as well as the first FDA-approved clinical system introduced in 1998 were based on digitized film-screen mammograms.…”
Section: Computer-aided Diagnosismentioning
confidence: 99%
“…As early as 1967, Fred Winsberg from the University of Chicago proposed an algorithm for computer-aided breast cancer detection using digitized film mammograms [1]. Although film digitization can produce high-quality digital mammograms, this process is not only labor intensive and expensive, but primarily does not solve the limitations inherent to film mammography, mainly the narrow dynamic range caused by the non-linear characteristic curve of film.…”
Section: Introductionmentioning
confidence: 99%