Detection of Atypical Texture Features in Early Malignant Melanoma

Author

Bijaya Shrestha, Missouri University of Science and TechnologyFollow
Joseph A. Bishop
Keong Kam
Xiaohe Chen
Randy Hays Moss, Missouri University of Science and TechnologyFollow
William V. Stoecker, Missouri University of Science and TechnologyFollow
Scott E. Umbaugh
R. Joe Stanley, Missouri University of Science and TechnologyFollow
Mehmed Emre Celebi
Ashfaq Ahmed Marghoob
Giuseppe Argenziano
H. Peter Soyer

Abstract

Background: The presence of an atypical (irregular) pigment network (APN) can indicate a diagnosis of melanoma. This study sought to analyze the APN with texture measures. Methods: For 106 dermoscopy images including 28 melanomas and 78 benign dysplastic nevi, the areas of APN were selected manually. Ten texture measures in the CVIPtools image analysis system were applied. Results: Of the 10 texture measures used, correlation average provided the highest discrimination accuracy, an average of 95.4%. Discrimination of melanomas was optimal at a pixel distance of 20 for the 768 x 512 images, consistent with a melanocytic lesion texel size estimate of 4-5 texels per mm. Conclusion: Texture analysis, in particular correlation average at an optimized pixel spacing, may afford automatic detection of an irregular pigment network in early malignant melanoma.

Recommended Citation

B. Shrestha and J. A. Bishop and K. Kam and X. Chen and R. H. Moss and W. V. Stoecker and S. E. Umbaugh and R. J. Stanley and M. E. Celebi and A. A. Marghoob and G. Argenziano and H. P. Soyer, "Detection of Atypical Texture Features in Early Malignant Melanoma," Skin Research and Technology, vol. 16, no. 1, pp. 60 - 65, Wiley-Blackwell, Feb 2010.

The definitive version is available at https://doi.org/10.1111/j.1600-0846.2009.00402.x

Department(s)

Electrical and Computer Engineering

Second Department

Chemistry

Keywords and Phrases

Automatic Detection; Dermoscopy; Dermoscopy Images; Discrimination Accuracy; Dysplastic Nevi; Image Analysis Systems; Malignant Melanoma; Melanocytic Lesion; Pixel Spacing; Texture Analysis; Texture Features; Dermatology; Diagnosis; Image Analysis; Oncology; Pixels; Textures; Clinical Feature; Controlled Study; Cutaneous Parameters; Dysplastic Nevus; Epiluminescence Microscopy; Human; Image Analysis; Image Display; Major Clinical Study; Melanoma; Skin Examination; Skin Pigmentation; Tumor Classification; Carcinoma in Situ; Databases; Factual; Dermoscopy; Diagnosis; Differential; Dysplastic Nevus Syndrome; Early Diagnosis; Humans; Hutchinson's Melanotic Freckle; Image Processing; Computer-assisted; Melanoma; Reproducibility of Results; Skin Neoplasms

International Standard Serial Number (ISSN)

0909-752X

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2010 Wiley-Blackwell, All rights reserved.

Publication Date

01 Feb 2010