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Автор P G Tahoces
Автор J Correa
Автор M Soutos
Автор L Gomez
Автор J J Vidal
Дата выпуска 1995-01-01
dc.description The authors have developed a method for the quantification of breast texture by using different algorithms to classify mammograms into the four patterns described by Wolfe (1976) (N1, P1, P2 and Dy). The computerized scheme employs craniocaudal views of conventional screen-film mammograms, which are digitized by a laser scanner. The authors used discriminant analysis to select among different feature-extraction techniques, including Fourier transform, local-contrast analysis, and grey-level distribution and quantification. The method has been evaluated on 117 clinical mammograms previously classified by five radiologists as to mammographic breast parenchymal patterns (MBPPS). The results show differences in agreement among radiologists and computer classification, depending on the Wolfe pattern: excellent for Dy ( kappa =0.77), good for P2 ( kappa =0.52) and N1 ( kappa =0.52) and poor for P1 ( kappa =0.22). The authors' quantitative texture measure as calculated from digital mammograms may be valuable to radiologists in their assessment of MBPP and therefore useful in establishing an index of risk for developing breast carcinoma.
Формат application.pdf
Издатель Institute of Physics Publishing
Название Computer-assisted diagnosis: the classification of mammographic breast parenchymal patterns
Тип paper
DOI 10.1088/0031-9155/40/1/010
Electronic ISSN 1361-6560
Print ISSN 0031-9155
Журнал Physics in Medicine and Biology
Том 40
Первая страница 103
Последняя страница 117
Аффилиация P G Tahoces; Dept. of Electron. & Comput., Santiago de Compostela Univ., Spain
Аффилиация J Correa; Dept. of Electron. & Comput., Santiago de Compostela Univ., Spain
Аффилиация M Soutos; Dept. of Electron. & Comput., Santiago de Compostela Univ., Spain
Аффилиация L Gomez; Dept. of Electron. & Comput., Santiago de Compostela Univ., Spain
Аффилиация J J Vidal; Dept. of Electron. & Comput., Santiago de Compostela Univ., Spain
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