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Impact of various color LED flashlights and different lighting source to skin distances on the manual and the computer-aided detection of basal cell carcinoma borders

Authors

  • Mohamadreza K. Bakht,

    Corresponding author
    1. Young Researchers and Elites Club, Science and Research Branch, Islamic Azad University, Tehran, Iran
    • Address:

      M. K. Bakht

      Young Researchers and Elites Club

      Science and Research Branch

      Islamic Azad University

      Tehran

      Iran

      Tel: +98 912 2434026

      Fax: +98 217 7381431

      e-mail: mk.bakht@gmail.com

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  • Majid Pouladian,

    1. Department of Medical Radiation Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
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  • Farshid B. Mofrad,

    1. Department of Medical Radiation Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
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  • Hamid Honarpisheh

    1. Deputy of Education, Iranian Council of General Medical Education Secretariat, Ministry of Health and Medical Education, Tehran, Iran
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Abstract

Background/aims

Quantitative analysis based on digital skin image has been proven to be helpful in dermatology. Moreover, the borders of the basal cell carcinoma (BCC) lesions have been challenging borders for the automatic detection methods. In this work, a computer-aided dermatoscopy system was proposed to enhance the clinical detection of BCC lesion borders.

Methods

Fifty cases of BCC were selected and 2000 pictures were taken. The lesion images data were obtained with eight colors of flashlights and in five different lighting source to skin distances (SSDs). Then, the image-processing techniques were used for automatic detection of lesion borders. Further, the dermatologists marked the lesions on the obtained photos.

Results

Considerable differences between the obtained values referring to the photographs that were taken at super blue and aqua green color lighting were observed for most of the BCC borders. It was observed that by changing the SSD, an optimum distance could be found where that the accuracy of the detection reaches to a maximum value.

Conclusion

This study clearly indicates that by changing SSD and lighting color, manual and automatic detection of BCC lesions borders can be enhanced.

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