27 February 1996 Optimal filter for detection of stellate lesions and circumscribed masses in mammograms
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Proceedings Volume 2727, Visual Communications and Image Processing '96; (1996); doi: 10.1117/12.233259
Event: Visual Communications and Image Processing '96, 1996, Orlando, FL, United States
Abstract
This paper presents a new method for segmentation of digital mammograms based on the use of an optimal filter for feature extraction. The filter is optimized with respect to the Fisher criterion, i.e. the mean feature values for the textures to be discriminated are maximally separated, while the feature variances are low. Our optimal filter is used in the detection of two types of tumors; circumscribed masses and stellate lesions. We take advantage of the similarity between stellate lesions and circumscribed masses and use the same filter in the segmentation of both types of abnormalities. Results of an experimental study using a set of 60 mammograms -- 22 containing circumscribed masses, 19 containing stellate lesions, and 19 containing no tumors -- are presented.
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Thor Ole Gulsrud, Sissel Kjode, "Optimal filter for detection of stellate lesions and circumscribed masses in mammograms", Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); doi: 10.1117/12.233259; https://doi.org/10.1117/12.233259
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KEYWORDS
Mammography

Optimal filtering

Tumors

Feature extraction

Tissues

Image filtering

Image segmentation

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