A query-by-example content-based image retrieval system of non-melanoma skin lesions

Authors:
Lucia Ballerini;Xiang Li;Robert B. Fisher;Jonathan Rees
Affiliations:
School of Informatics, University of Edinburgh, UK;School of Informatics, University of Edinburgh, UK;School of Informatics, University of Edinburgh, UK;Dermatology, University of Edinburgh, UK
Venue:
MCBR-CDS'09 Proceedings of the First MICCAI international conference on Medical Content-Based Retrieval for Clinical Decision Support
Year:
2009

Citing 9
Cited 3

Sum and Difference Histograms for Texture Classification

IEEE Transactions on Pattern Analysis and Machine Intelligence
Content-Based Image Retrieval at the End of the Early Years

IEEE Transactions on Pattern Analysis and Machine Intelligence
Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning
Content-based Retrieval and Data Mining of a Skin Cancer Image Database

ITCC '01 Proceedings of the International Conference on Information Technology: Coding and Computing
Content-Based Image Retrieval Incorporating Models of Human Perception

ITCC '04 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 2 - Volume 2
Image Retrieval-Based Decision Support System for Dermatoscopic Images

CBMS '06 Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems
Image retrieval: Ideas, influences, and trends of the new age

ACM Computing Surveys (CSUR)
Illumination invariant color texture analysis based on sum- and difference-histograms

PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
An integrated computer supported acquisition, handling, and characterization system for pigmented skin lesions in dermatological images

IEEE Transactions on Information Technology in Biomedicine

Classification of dermatological ulcers based on tissue composition and color texture features

Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
Overview of the first workshop on medical content–based retrieval for clinical decision support at MICCAI 2009

MCBR-CDS'09 Proceedings of the First MICCAI international conference on Medical Content-Based Retrieval for Clinical Decision Support
Methodological review: Computerized analysis of pigmented skin lesions: A review

Artificial Intelligence in Medicine

Quantified Score

Hi-index	0.00

Visualization

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.