Detection of atypical texture features in early malignant melanoma

Bijaya Shrestha, Joseph Bishop, Keong Kam, Xiaohe Chen, Randy H. Moss, William V. Stoecker, Scott Umbaugh, R. Joe Stanley, M. Emre Celebi, Ashfaq A. Marghoob, Giuseppe Argenziano, H. Peter Soyer

Research output: Contribution to journalArticlepeer-review


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 × 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.

Original languageEnglish
Pages (from-to)60-65
Number of pages6
JournalSkin Research and Technology
Issue number1
Publication statusPublished - Feb 2010


  • Dermoscopy
  • Image analysis
  • Melanoma
  • Pigment network
  • Texel
  • Texture

ASJC Scopus subject areas

  • Dermatology

Fingerprint Dive into the research topics of 'Detection of atypical texture features in early malignant melanoma'. Together they form a unique fingerprint.

Cite this