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Multi-scale morphological feature extraction for the classification of micro-calcifications
Author(s): Zobia Suhail; Erika R. E. Denton; Reyer Zwiggelaar
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Paper Abstract

Mammography is considered the most appropriate method to defeat breast cancer in population screening. Although mammography is used for the detection of micro-calcifications, the benign/malignant classification relies on subsequent histology assessment. We describe a novel method for the automatic classification of benign and malignant micro-calcifications directly from mammographic images, which uses the morphology as well as the distribution aspects of micro-calcifications and is directly associated with the BIRADS categorization of microcalcifications. The developed approach is building on Iwanowski’s morphology work, but is adding class-extractors and multi-scale aspects. Translation to other application areas is discussed and evaluation based on the MIAS and DDSM datasets show results in line with stateof-the-art micro-calcifications classification approaches.

Paper Details

Date Published: 6 July 2018
PDF: 8 pages
Proc. SPIE 10718, 14th International Workshop on Breast Imaging (IWBI 2018), 1071812 (6 July 2018); doi: 10.1117/12.2317726
Show Author Affiliations
Zobia Suhail, Aberystwyth Univ. (United Kingdom)
Erika R. E. Denton, Norfolk and Norwich Univ. Hospital (United Kingdom)
Reyer Zwiggelaar, Aberystwyth Univ. (United Kingdom)

Published in SPIE Proceedings Vol. 10718:
14th International Workshop on Breast Imaging (IWBI 2018)
Elizabeth A. Krupinski, Editor(s)

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