Detection of granularity in dermoscopy images of malignant melanoma using color and texture features

被引:49
作者
Stoecker, William V. [1 ]
Wronkiewiecz, Mark [1 ]
Chowdhury, Raeed [1 ]
Stanley, R. Joe [2 ]
Xu, Jin [1 ]
Bangert, Austin [2 ]
Shrestha, Bijaya [2 ]
Calcara, David A. [1 ]
Rabinovitz, Harold S. [3 ]
Oliviero, Margaret [3 ]
Ahmed, Fatimah [4 ]
Perry, Lindall A. [6 ]
Drugge, Rhett [5 ]
机构
[1] Stoecker & Associates, Rolla, MO 65401 USA
[2] Missouri Univ Sci & Technol, Dept Elect & Comp Engn, Rolla, MO 65409 USA
[3] Skin & Canc Associates, Plantation, FL 33324 USA
[4] Rolla High Sch, Rolla, MO 65401 USA
[5] Sheard & Drugge PC, Stamford, CT 06902 USA
[6] Columbia Dermatol & Mohs Skin Canc Surg, Columbia, MO 65201 USA
基金
美国国家卫生研究院;
关键词
Melanoma; Image analysis; Texture; Granular; Granularity; Dermoscopy; PIGMENTED SKIN-LESIONS; SEBORRHEIC-KERATOSIS;
D O I
10.1016/j.compmedimag.2010.09.005
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Granularity, also called peppering and multiple blue-grey dots, is defined as an accumulation of tiny, blue-grey granules in dermoscopy images. Granularity is most closely associated with a diagnosis of malignant melanoma. This study analyzes areas of granularity with color and texture measures to discriminate granularity in melanoma from similar areas in non-melanoma skin lesions. The granular areas in dermoscopy images of 74 melanomas and 14 melanomas in situ were identified and manually selected. For 200 non-melanoma dermoscopy images, those areas which most closely resembled granularity in color and texture were similarly selected. Ten texture and twenty-two color measures were studied. The texture measures consisted of the average and range of energy, inertia, correlation, inverse difference, and entropy. The color measures consisted of absolute and relative RGB averages, absolute and relative RGB chromaticity averages, absolute and relative G/B averages, CIE X, Y, Z, X/Y, X/Z and Y/Z averages, R variance, and luminance. These measures were calculated for each granular area of the melanomas and the comparable areas in the non-melanoma images. Receiver operating characteristic (ROC) curve analysis showed that the best separation of melanoma images from non-melanoma images by granular area features was obtained with a combination of color and texture measures. Comparison of ROC results showed greater separation of melanoma from benign lesions using relative color than using absolute color. Statistical analysis showed that the four most significant measures of granularity in melanoma are two color measures and two texture measures averaged over the spots: relative blue, relative green, texture correlation, and texture energy range. The best feature set, utilizing texture and relative color measures, achieved an accuracy of 96.4% based on area under the receiver operating characteristic curve. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:144 / 147
页数:4
相关论文
共 23 条
[1]   Dermoscopy of pigmented skin lesions:: Results of a consensus meeting via the Internet [J].
Argenziano, G ;
Soyer, HP ;
Chimenti, S ;
Talamini, R ;
Corona, R ;
Sera, F ;
Binder, M ;
Cerroni, L ;
De Rosa, G ;
Ferrara, G ;
Hofmann-Wellenhof, R ;
Landthater, M ;
Menzies, SW ;
Pehamberger, H ;
Piccolo, D ;
Rabinovitz, HS ;
Schiffner, R ;
Staibano, S ;
Stolz, W ;
Bartenjev, I ;
Blum, A ;
Braun, R ;
Cabo, H ;
Carli, P ;
De Giorgi, V ;
Fleming, MG ;
Grichnik, JM ;
Grin, CM ;
Halpern, AC ;
Johr, R ;
Katz, B ;
Kenet, RO ;
Kittler, H ;
Kreusch, J ;
Malvehy, J ;
Mazzocchetti, G ;
Oliviero, M ;
Özdemir, F ;
Peris, K ;
Perotti, R ;
Perusquia, A ;
Pizzichetta, MA ;
Puig, S ;
Rao, B ;
Rubegni, P ;
Saida, T ;
Scalvenzi, M ;
Seidenari, S ;
Stanganelli, I ;
Tanaka, M .
JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY, 2003, 48 (05) :679-693
[2]   Differences between polarized light dermoscopy and immersion contact dermoscopy for the evaluation of skin lesions [J].
Benvenuto-Andrade, Cristiane ;
Dusza, Stephen W. ;
Agero, Anna Liza C. ;
Scope, Alon ;
Rajadhyaksha, Milind ;
Halpern, Allan C. ;
Marghoob, Ashfaq A. .
ARCHIVES OF DERMATOLOGY, 2007, 143 (03) :329-338
[3]   Dermoscopy of fully regressive cutaneous melanoma [J].
Bories, N. ;
Dalle, S. ;
Debarbieux, S. ;
Balme, B. ;
Ronger-Savle, S. ;
Thomas, L. .
BRITISH JOURNAL OF DERMATOLOGY, 2008, 158 (06) :1224-1229
[4]   The significance of multiple blue-grey dots (granularity) for the dermoscopic diagnosis of melanoma [J].
Braun, R. P. ;
Gaide, O. ;
Oliviero, M. ;
Kopf, A. W. ;
French, L. E. ;
Saurat, J.-H. ;
Rabinovitz, H. S. .
BRITISH JOURNAL OF DERMATOLOGY, 2007, 157 (05) :907-913
[5]   Inter- and intra-variability of pigmented skin lesions: could the ABCD rule be influenced by host characteristics? [J].
Burroni, M ;
Dell'Eva, G ;
Corona, R ;
Sera, F ;
Bono, R ;
Sbano, P ;
Andreassi, L ;
Rubegni, P .
SKIN RESEARCH AND TECHNOLOGY, 2004, 10 (03) :193-199
[6]  
Commission Internationale de l'Eclairage, 1931, COMM INT ECL P
[7]   Dermoscopy of desmoplastic melanoma: report of six cases [J].
Debarbieux, S. ;
Ronger-Salve, S. ;
Dalle, S. ;
Balme, B. ;
Thomas, L. .
BRITISH JOURNAL OF DERMATOLOGY, 2008, 159 (02) :360-363
[8]  
Dilorio F., 1995, QUICK START DATA ANA
[9]   TEXTURAL FEATURES FOR IMAGE CLASSIFICATION [J].
HARALICK, RM ;
SHANMUGAM, K ;
DINSTEIN, I .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1973, SMC3 (06) :610-621
[10]   Identification of important image features for pork and turkey ham classification using colour and wavelet texture features and genetic selection [J].
Jackman, Patrick ;
Sun, Da-Wen ;
Allen, Paul ;
Valous, Nektarios A. ;
Mendoza, Fernando ;
Ward, Paddy .
MEAT SCIENCE, 2010, 84 (04) :711-717