Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Classification of pathological shapes using convexity measures

Rosin, Paul L. 2009. Classification of pathological shapes using convexity measures. Pattern Recognition Letters 30 (5) , pp. 570-578. 10.1016/j.patrec.2008.12.001

Full text not available from this repository.

Abstract

Two new shape measures for quantifying the degree of convexity are described. When applied to assessment of skin lesions they are shown to be an effective indicator of malignancy, outperforming Lee et al’s. OII scale–space based irregularity measure. In addition, the new measures were applied to the classification of mammographic masses and lung field boundaries and were shown to perform well relative to a large set of common shape measures that appear in the literature such as moments, compactness, symmetry, etc.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords: Shape measure; Polygon; Convexity; Convex hull; Convexification; Medical classification
Publisher: Elsevier
ISSN: 0167-8655
Last Modified: 04 Jun 2017 02:56
URI: http://orca.cf.ac.uk/id/eprint/14239

Citation Data

Cited 10 times in Google Scholar. View in Google Scholar

Cited 14 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item