Paper
25 May 1989 Characterization Of Mammographic Parenchymal Pattern By Fractal Dimension
Curtis B. Caldwell, Sandra J. Stapleton, David W. Holdsworth, Roberta Jong, William Weiser, Gabriel Cooke, Martin J. Yaffe
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Abstract
Mammographic parenchymal pattern has been associated with risk of developing breast cancer. Currently, these patterns are classified subjectively by radiologists according to "Wolfe grade", as N, P1, P2, or DY. Such broad classifications have limited applicability for the assessment of subtle changes which may occur, for example, in long term studies of women at high risk for breast cancer. For such work, a consistent, quantitative, observer-independent method of characterization is required. We have been developing such a method based on the use of "fractals". We have applied techniques of calculating fractal dimension to digitized mammograms. To evaluate our technique, we are measuring the degree of correlation between the fractal classification of images and their mammographic patterns as assessed by radiologists. Preliminary results have shown significant correlation between the fractal-based and radiologist-based assessments.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Curtis B. Caldwell, Sandra J. Stapleton, David W. Holdsworth, Roberta Jong, William Weiser, Gabriel Cooke, and Martin J. Yaffe "Characterization Of Mammographic Parenchymal Pattern By Fractal Dimension", Proc. SPIE 1092, Medical Imaging III: Image Processing, (25 May 1989); https://doi.org/10.1117/12.953239
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Cited by 4 scholarly publications.
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KEYWORDS
Fractal analysis

Mammography

Dysprosium

Breast

Breast cancer

Image classification

Classification systems

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