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A Query-by-Example Content-Based Image Retrieval System of Non-melanoma Skin Lesions

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationMEDICAL CONTENT-BASED RETRIEVAL FOR CLINICAL DECISION SUPPORT
EditorsB Caputo, H Muller, T SyedaMahmood, JS Duncan, F Wang, J KalpathyCramer
Place of PublicationBERLIN
PublisherSpringer-Verlag GmbH
Pages31-38
Number of pages8
ISBN (Print)978-3-642-11768-8
DOIs
Publication statusPublished - 2010
Event1st MICCAI International Workshop on Medical Content-Based Retrieval for Clinical Decision Support - London
Duration: 20 Sep 2009 → …

Conference

Conference1st MICCAI International Workshop on Medical Content-Based Retrieval for Clinical Decision Support
CityLondon
Period20/09/09 → …

Abstract

This paper proposes a content-based image retrieval system for skin lesion images as a diagnostic aid. The aim is to support decision making by retrieving and displaying relevant past cases visually similar to the one under examination. Skin lesions of five common classes, including two non-melanoma cancer types are used. Colour and texture features are extracted from lesions. Feature selection is achieved by optimising a similarity matching function. Experiments on our database of 208 images are performed and results evaluated.

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