Multi-spectral imaging and analysis for classification of melanoma

Sachin V. Patwardhan; Atam P. Dhawan

Multi-spectral imaging and analysis for classification of melanoma

Sachin V. Patwardhan, Atam P. Dhawan

Research output: Contribution to journal › Conference article › peer-review

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

Cite this

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title = "Multi-spectral imaging and analysis for classification of melanoma",

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.",

keywords = "Crisp and fuzzy partitioning, Monte Carlo simulation, Multi-spectral imaging",

author = "Patwardhan, {Sachin V.} and Dhawan, {Atam P.}",

year = "2004",

language = "English (US)",

volume = "26 I",

pages = "503--506",

journal = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",

issn = "0589-1019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 ; Conference date: 01-09-2004 Through 05-09-2004",

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TY - JOUR

T1 - Multi-spectral imaging and analysis for classification of melanoma

AU - Patwardhan, Sachin V.

AU - Dhawan, Atam P.

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

KW - Crisp and fuzzy partitioning

KW - Monte Carlo simulation

KW - Multi-spectral imaging

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M3 - Conference article

AN - SCOPUS:11044220436

SN - 0589-1019

VL - 26 I

SP - 503

EP - 506

JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

JF - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

T2 - Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004

Y2 - 1 September 2004 through 5 September 2004

ER -

Multi-spectral imaging and analysis for classification of melanoma

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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