Statistical Measures for the Computer-Aided Diagnosis of Mammographic Masses

We propose statistical measures for finding masses in mammograms. The measures are based on fitting broken line regressions to local intensity plots of the images. The method is illustrated on a small database of mammograms that have been read by a radiologist and confirmed by operative data. This w...

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Bibliographische Detailangaben
Veröffentlicht in:Journal of Computational and Graphical Statistics. - American Statistical Association, Institute of Mathematical Statistics, and Interface Foundation of North America, 1992. - 8(1999), 3, Seite 531-543
1. Verfasser: Hastie, Trevor (VerfasserIn)
Weitere Verfasser: Ikeda, Debra, Tibshirani, Robert
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 1999
Zugriff auf das übergeordnete Werk:Journal of Computational and Graphical Statistics
Schlagworte:Breast cancer Classification Diagnosis Mammography Applied sciences Physical sciences Social sciences Health sciences Mathematics Behavioral sciences
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520 |a We propose statistical measures for finding masses in mammograms. The measures are based on fitting broken line regressions to local intensity plots of the images. The method is illustrated on a small database of mammograms that have been read by a radiologist and confirmed by operative data. This work illustrates some of the statistical challenges in working with large diagnostic images. 
540 |a Copyright 1999 American Statistical Association, Institute of Mathematical Statistics, and Interface Foundation of North America 
650 4 |a Breast cancer 
650 4 |a Classification 
650 4 |a Diagnosis 
650 4 |a Mammography 
650 4 |a Applied sciences  |x Imaging  |x Radiography  |x Computer assisted diagnosis  |x Mammography 
650 4 |a Physical sciences  |x Physics  |x Mechanics  |x Mass  |x Average linear density 
650 4 |a Social sciences  |x Communications  |x Communications media  |x Visual materials  |x Graphics  |x Digital images  |x Pixels 
650 4 |a Applied sciences  |x Imaging  |x Radiography  |x Computer assisted diagnosis 
650 4 |a Health sciences  |x Medical specialties  |x Allied health  |x Radiology 
650 4 |a Mathematics  |x Pure mathematics  |x Geometry  |x Geometric shapes  |x Conic sections  |x Ellipses  |x Circles 
650 4 |a Health sciences  |x Medical conditions  |x Diseases  |x Breast diseases  |x Breast neoplasms  |x Breast cancer 
650 4 |a Behavioral sciences  |x Psychology  |x Cognitive psychology  |x Cognitive processes  |x Decision making  |x Decision analysis  |x Decision trees 
650 4 |a Mathematics  |x Applied mathematics  |x Statistics  |x Applied statistics  |x Statistical results  |x Errors in statistics  |x False negative errors 
650 4 |a Mathematics  |x Applied mathematics  |x Statistics  |x Applied statistics  |x Statistical results  |x Errors in statistics  |x False positive errors 
655 4 |a research-article 
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700 1 |a Tibshirani, Robert  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t Journal of Computational and Graphical Statistics  |d American Statistical Association, Institute of Mathematical Statistics, and Interface Foundation of North America, 1992  |g 8(1999), 3, Seite 531-543  |w (DE-627)320519414  |w (DE-600)2014382-5  |x 15372715  |7 nnns 
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