Paper
24 June 1998 Shape-based feature selection for microcalcification evaluation
Joan Marti, Xavier Cufi, Jordi Regincos, Josep Espanol, Josep Pont, Carles Barcelo
Author Affiliations +
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 Additionally, the work is based on an unpublished database formed by patients of the Regional Health Area of Girona, which in the future may contribute to increase the digital mammogram databases.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Joan Marti, Xavier Cufi, Jordi Regincos, Josep Espanol, Josep Pont, and Carles Barcelo "Shape-based feature selection for microcalcification evaluation", Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); https://doi.org/10.1117/12.310849
Lens.org Logo
CITATIONS
Cited by 17 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Mammography

Tumor growth modeling

Statistical analysis

Statistical modeling

Breast

Image segmentation

Databases

Back to Top