Abstract
Diagnostic potential of principal component analysis (PCA) of multi-spectral imaging data in the wavelength range 450-950 nm for distant skin melanoma recognition is discussed. Processing of the measured clinical data by means of PCA resulted in clear separation between malignant melanomas and pigmented nevi.
| Original language | English |
|---|---|
| Title of host publication | European Conference on Biomedical Optics, ECBO 2013 |
| Publisher | Optical Society of America |
| ISBN (Print) | 9780819496461 |
| Publication status | Published - 2013 |
| Event | European Conference on Biomedical Optics, ECBO 2013 - Munich, Germany Duration: 12 May 2013 → 16 May 2013 |
Publication series
| Name | Optics InfoBase Conference Papers |
|---|---|
| ISSN (Electronic) | 2162-2701 |
Conference
| Conference | European Conference on Biomedical Optics, ECBO 2013 |
|---|---|
| Country/Territory | Germany |
| City | Munich |
| Period | 12/05/13 → 16/05/13 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Melanoma
- Principal component analysis
- Skin
- Spectral imaging
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