Multi-spectral imaging and analysis for classification of melanoma

Sachin V. Patwardhan, Atam Dhawan

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

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 languageEnglish (US)
Pages (from-to)503-506
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume26 I
StatePublished - Dec 1 2004
EventConference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States
Duration: Sep 1 2004Sep 5 2004

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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