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Proceedings Paper

Shape-based feature selection for microcalcification evaluation
Author(s): Joan Marti; Xavier Cufi; Jordi Regincos; Josep Espanol; Josep Pont; Carles Barcelo
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Paper Abstract

This work focuses on the selection of a set of shape-based features in order to assist radiologists in differentiating between malignant and benignant clustered microcalcifications in mammograms. The results obtained allow the creation of a model for the evaluation of the benignant or malignant character of the microcalcifications in a mammogram, based exclusively on the following parameters: number of clusters, number of holes, area, Feret elongation, roughness and elongation. The performance of the classification scheme is close to the mean performance of three expert radiologists, which allows to consider the proposed method for assisting the diagnosis and encourages to continue the investigation in this field. Additionally, the work is based on an unpublished database formed by patients of the Regional Health Area of Girona, which in the future may contribute to increase the digital mammogram databases.

Paper Details

Date Published: 24 June 1998
PDF: 10 pages
Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); doi: 10.1117/12.310849
Show Author Affiliations
Joan Marti, Univ. of Girona (Spain)
Xavier Cufi, Univ. of Girona (Spain)
Jordi Regincos, Univ. of Girona (Spain)
Josep Espanol, Univ. of Girona Hospital (France)
Josep Pont, Univ. of Girona Hospital (France)
Carles Barcelo, Univ. of Girona (Spain)

Published in SPIE Proceedings Vol. 3338:
Medical Imaging 1998: Image Processing
Kenneth M. Hanson, Editor(s)

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