Melanocyte Detection and Intercellular Distribution Analysis of Melasma in Harmonically Generated Microscopy Images

Gwo-Giun Lee, Hsien Pin Chu, Chi Kuang Sun, Yi Hua Liao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Melasma is the common hyperpigmentary skin disorder that can cause bright and dark brown macules and patches on sun-exposed areas of the skin owing to hyperactivity of epidermal melanocytes. Correspondingly, melanocyte detection and subsequent observation are principle procedures conducted by physicians. In this paper, we utilize methodology of contextual comparison based on intrinsic cell characteristics to detect epidermal melanocytes, which can provide consistent and accurate results for assisting the assessment of diagnosis. In addition, we propose the method of Computer-Aided Diagnosis (CAD) via moving window statistical analysis, which evaluate the relationship between detected melanocytes and the characteristics of the intercellular distribution in the Third Harmonic Generation (THG) image. The experimental results show the inconsistent distribution of cells around melanocytes in different disease categories, while processing of an adequate number of in vivo virtual biopsy images provides quantitative and objective bio-information.

Original languageEnglish
Title of host publication2018 International Conference on Orange Technologies, ICOT 2018
EditorsAbba Suganda Girsang, Emil R. Kaburuan
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538673195
DOIs
Publication statusPublished - 2018 Jul 2
Event6th International Conference on Orange Technologies, ICOT 2018 - Bali, Indonesia
Duration: 2018 Oct 232018 Oct 26

Publication series

Name2018 International Conference on Orange Technologies, ICOT 2018

Conference

Conference6th International Conference on Orange Technologies, ICOT 2018
CountryIndonesia
CityBali
Period18-10-2318-10-26

Fingerprint

Skin
Microscopic examination
Biopsy
Harmonic generation
Sun
Statistical methods
Processing

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Cite this

Lee, G-G., Chu, H. P., Sun, C. K., & Liao, Y. H. (2018). Melanocyte Detection and Intercellular Distribution Analysis of Melasma in Harmonically Generated Microscopy Images. In A. S. Girsang, & E. R. Kaburuan (Eds.), 2018 International Conference on Orange Technologies, ICOT 2018 [8705798] (2018 International Conference on Orange Technologies, ICOT 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICOT.2018.8705798
Lee, Gwo-Giun ; Chu, Hsien Pin ; Sun, Chi Kuang ; Liao, Yi Hua. / Melanocyte Detection and Intercellular Distribution Analysis of Melasma in Harmonically Generated Microscopy Images. 2018 International Conference on Orange Technologies, ICOT 2018. editor / Abba Suganda Girsang ; Emil R. Kaburuan. Institute of Electrical and Electronics Engineers Inc., 2018. (2018 International Conference on Orange Technologies, ICOT 2018).
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title = "Melanocyte Detection and Intercellular Distribution Analysis of Melasma in Harmonically Generated Microscopy Images",
abstract = "Melasma is the common hyperpigmentary skin disorder that can cause bright and dark brown macules and patches on sun-exposed areas of the skin owing to hyperactivity of epidermal melanocytes. Correspondingly, melanocyte detection and subsequent observation are principle procedures conducted by physicians. In this paper, we utilize methodology of contextual comparison based on intrinsic cell characteristics to detect epidermal melanocytes, which can provide consistent and accurate results for assisting the assessment of diagnosis. In addition, we propose the method of Computer-Aided Diagnosis (CAD) via moving window statistical analysis, which evaluate the relationship between detected melanocytes and the characteristics of the intercellular distribution in the Third Harmonic Generation (THG) image. The experimental results show the inconsistent distribution of cells around melanocytes in different disease categories, while processing of an adequate number of in vivo virtual biopsy images provides quantitative and objective bio-information.",
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Lee, G-G, Chu, HP, Sun, CK & Liao, YH 2018, Melanocyte Detection and Intercellular Distribution Analysis of Melasma in Harmonically Generated Microscopy Images. in AS Girsang & ER Kaburuan (eds), 2018 International Conference on Orange Technologies, ICOT 2018., 8705798, 2018 International Conference on Orange Technologies, ICOT 2018, Institute of Electrical and Electronics Engineers Inc., 6th International Conference on Orange Technologies, ICOT 2018, Bali, Indonesia, 18-10-23. https://doi.org/10.1109/ICOT.2018.8705798

Melanocyte Detection and Intercellular Distribution Analysis of Melasma in Harmonically Generated Microscopy Images. / Lee, Gwo-Giun; Chu, Hsien Pin; Sun, Chi Kuang; Liao, Yi Hua.

2018 International Conference on Orange Technologies, ICOT 2018. ed. / Abba Suganda Girsang; Emil R. Kaburuan. Institute of Electrical and Electronics Engineers Inc., 2018. 8705798 (2018 International Conference on Orange Technologies, ICOT 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - Melasma is the common hyperpigmentary skin disorder that can cause bright and dark brown macules and patches on sun-exposed areas of the skin owing to hyperactivity of epidermal melanocytes. Correspondingly, melanocyte detection and subsequent observation are principle procedures conducted by physicians. In this paper, we utilize methodology of contextual comparison based on intrinsic cell characteristics to detect epidermal melanocytes, which can provide consistent and accurate results for assisting the assessment of diagnosis. In addition, we propose the method of Computer-Aided Diagnosis (CAD) via moving window statistical analysis, which evaluate the relationship between detected melanocytes and the characteristics of the intercellular distribution in the Third Harmonic Generation (THG) image. The experimental results show the inconsistent distribution of cells around melanocytes in different disease categories, while processing of an adequate number of in vivo virtual biopsy images provides quantitative and objective bio-information.

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Lee G-G, Chu HP, Sun CK, Liao YH. Melanocyte Detection and Intercellular Distribution Analysis of Melasma in Harmonically Generated Microscopy Images. In Girsang AS, Kaburuan ER, editors, 2018 International Conference on Orange Technologies, ICOT 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8705798. (2018 International Conference on Orange Technologies, ICOT 2018). https://doi.org/10.1109/ICOT.2018.8705798