Detection of atypical texture features in early malignant melanoma.
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.


CONCLUSIONS
Texture analysis, in particular correlation average at an optimized pixel spacing, may afford automatic detection of an irregular pigment network in early malignant melanoma.
Shrestha
Bijaya
B
Department of Electrical and Computer Engineering, Missouri University of Science and Technology, Rolla, MO, USA.
Bishop
Joseph
J
Kam
Keong
K
Chen
Xiaohe
X
Moss
Randy H
RH
Stoecker
William V
WV
Umbaugh
Scott
S
Stanley
R Joe
RJ
Celebi
M Emre
ME
Marghoob
Ashfaq A
AA
Argenziano
Giuseppe
G
Soyer
H Peter
HP
D002278:Carcinoma in Situ / Q000473:pathology; D016208:Databases, Factual; D046169:Dermoscopy / Q000379:methods* / Q000592:standards*; D003937:Diagnosis, Differential; D004416:Dysplastic Nevus Syndrome / Q000473:pathology*; D042241:Early Diagnosis; D006801:Humans; D018327:Hutchinson's Melanotic Freckle / Q000473:pathology; D007091:Image Processing, Computer-Assisted / Q000379:methods / Q000592:standards; D008545:Melanoma / Q000473:pathology*; D015203:Reproducibility of Results; D012878:Skin Neoplasms / Q000473:pathology*
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