Multi-spectral imaging and analysis for classification of melanoma

Author

Patwardhan, Sachin V. ; Dhawan, Atam P.

Author_Institution

Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA

Volume

1

fYear

2004

fDate

1-5 Sept. 2004

Firstpage

503

Lastpage

506

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

biomedical optical imaging; cancer; fuzzy set theory; image classification; medical image processing; skin; Nevoscope; crisp partitioning technique; fuzzy partitioning technique; lesion depth; melanoma classification; melanoma diagnosis; multispectral transillumination imaging; skin lesions; visible spectrum; Epidermis; Image analysis; Lesions; Lighting; Malignant tumors; Multispectral imaging; Optical imaging; Sensitivity and specificity; Skin; Tree data structures; Monte Carlo simulation; Multi-spectral imaging; crisp and fuzzy partitioning;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE

Conference_Location

San Francisco, CA

Print_ISBN

0-7803-8439-3

Type

conf

DOI

10.1109/IEMBS.2004.1403204

Filename

1403204