ELM IMAGE PROCESSING FOR MELANOCYTIC SKIN LESION DIAGNOSIS BASED ON 7-POINT CHECKLIST: A PRELIMINARY DISCUSSION |
|---|
| G. Di Leo, G. Fabbrocini, C. Liguori, A. Pietrosanto, M. Sclavenzi |
- Abstract:
- Early detection of melanoma is one of the greatest challenges of dermatologic practice today. A new diagnostic method, the “ELM 7 point checklist”, defines a set of seven features, based on colour and texture parameters, which describe the malignancy of a lesion. It has been presented as faster and with the same accuracy than the traditional ABCD criteria in the diagnosis of melanoma. In this paper a preliminary step to the automated diagnosis of melanocytic skin lesions, based on ELM 7 point checklist, is proposed. In particular, an image processing methodology focussed on finding the presence of two different parameters is set-up and characterized.
- Download:
- IMEKO-TC4-2004-078.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC4
- Event name:
- TC4 Symposium 2004
- Title:
- XIII IMEKO TC4 International Symposium on Measurements for Research and Industrial Applications (together with IXth International Workshop on ADC Modeling and Testing, IWADC)
- Place:
- Athens, GREECE
- Time:
- 29 September 2004 - 01 October 2004