Abstract
Wavelengths in the visible spectrum are selected for multi-spectral trans-illumination imaging of the skin lesions using the Nevoscope. The multi-spectral image data is analyzed using crisp and fuzzy partitioning techniques for classification of melanoma. It is shown that the multi-spectral images add the lesion depth and structural information to the superficial lesion characteristics obtained from the surface illumination images and hence, improve the sensitivity and specificity of melanoma diagnosis.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 503-506 |
| Number of pages | 4 |
| Journal | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
| Volume | 26 I |
| State | Published - 2004 |
| Event | Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States Duration: Sep 1 2004 → Sep 5 2004 |
All Science Journal Classification (ASJC) codes
- Signal Processing
- Health Informatics
- Computer Vision and Pattern Recognition
- Biomedical Engineering
Keywords
- Crisp and fuzzy partitioning
- Monte Carlo simulation
- Multi-spectral imaging