CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
research
Statistical image processing for the detection of dermoscopic criteria
Authors
De Vita V
Di Leo G
+3 more
GABRIELLA FABBROCINI
Paolillo A
Sommella P.
Publication date
1 January 2011
Publisher
Abstract
An image based system implementing a well-known diagnostic method is disclosed for the automatic detection of melanomas as support to clinicians. The software procedure is able to recognize automatically the skin lesion within the digital image, measure morphological and chromatic feature, carry out a suitable classification for the detection of structural dermoscopic criteria provided by the 7-Point Check List. Experimental results about the adoption of statistical techniques applied to the border detection, feature extraction and classification as well as the resulting diagnostic score are described with reference to a large image set. Copyright © 2011 by the International Measurement Confederation (IMEKO) All rights reserved
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
Archivio della ricerca - Università degli studi di Napoli Federico II
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:www.iris.unina.it:11588/61...
Last time updated on 12/11/2016