Digital dermoscopy analysis of atypical pigmented skin lesions: A stepwise logistic discriminant analysis approach

Skin Research and Technology

Volumn 8, Issue 4, 2002, Pages 276-281

  Rubegni, P ^a   Cevenini, G ^a   Burroni, M ^a   Dell'Eva, G ^b   Sbano, P ^a   Cuccia, A ^a   Andreassi, L ^a  

^a UNIVERSITY OF SIENA   (Italy)

^b NONE

Author keywords

Digital epiluminescence; Image analysis; Melanoma; Pigmented lesions

Indexed keywords

ARTICLE; AUTOMATION; COLOR; CONTROLLED STUDY; DEVICE; DIAGNOSTIC PROCEDURE; DIGITAL FILTERING; DISCRIMINANT ANALYSIS; EPILUMINESCENCE MICROSCOPY; GEOMETRY; HUMAN; IMAGE QUALITY; MAJOR CLINICAL STUDY; MELANOMA; PARAMETER; PIGMENT DISORDER; STATISTICAL ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; METHODOLOGY; PATHOLOGY; PIGMENTED NEVUS; PREDICTION AND FORECASTING; SKIN TUMOR;

DIAGNOSIS, COMPUTER-ASSISTED; DISCRIMINANT ANALYSIS; HUMANS; MELANOMA; NEVUS, PIGMENTED; PREDICTIVE VALUE OF TESTS; SKIN NEOPLASMS;

EID: 1842864684     PISSN: 0909752X     EISSN: None     Source Type: Journal    
DOI: 10.1034/j.1600-0846.2001.00350.x     Document Type: Article

References (22)

1. Pehamberger H, Binder M, Steiner A, Wolff K. In vivo epiluminescence microscopy improvement of early diagnosis of melanoma. J Invest Dermatol 1993; 100: 356S-362S.
2. Fleming MG. Digital dermoscopy. Dermatol Clin 2001; 19: 359-367.
3. Kenet R, Kang S, Kenet B, Fitzpatrick T, Sober A, Barnhill RL. Clinical diagnosis of pigmented lesions using digital epiluminescence microscopy. Arch Dermatol 1993; 129: 157-174.
4. Andreassi L, Perotti R, Rubegni P et al. Digital dermoscopy analysis for the differentiation of atypical nevi and early melanoma: a new quantitative semiology. Arch Dermatol 1999; 135: 1538-1540.
5. Elbaum M, Kopf AW, Rabinovitz HS et al. Automatic differentiation of melanoma from melanocytic nevi with multispectral digital dermoscopy: a feasibility study. J Am Acad Dermatol 2001; 44: 207-218.
6. Perotti R, Biagioli M, Burroni M, Santini S, Dell'Eva G, Andreassi L. Image analysis of pigmented lesions: clinico-histopathological correlation. Am J Dermatopathol 1994; 16: 103-104.
7. Binder M, Steiner A, Schwarz M, Knollmayer S, Wolff K, Pehamberger H. Application of an artificial neural network in epiluminescence microscopy pattern analysis of pigmented lesions: a pilot study. Br J Dermatol 1994; 130: 460-465.
8. Niblack W. Digital Image Processing. Prentice Hall, 1986; 52-53.
9. Jennrich RI. Stepwise discriminant analysis. In: Enslein K, Ralston A, Wilf HS, eds. Statistical Methods for Digital Computers. Wiley, New York, 1977; 76-95.
10. Krzanowski WJ. Principles of Multivariate Analysis: a User's Perspective. Clarendon Press, Oxford, 1988.
11. Fukunaga K. Introduction to Statistical Pattern Recognition. Academic Press, Boston, 1990.
12. Bahmer F, Fritsch P, Kreusch J et al. Terminology in surface microscopy. J Am Acad Dermatol 1990; 23: 1159-1162.
13. Nachbar F, Stolz W, Merkle T et al. The ABCD rule of dermatoscopy. J Am Acad Dermatol 1994; 30: 551-559.
14. Stone JL, Peterson RL, Wolf JE. Digital imaging techniques in dermatology. J Am Acad Dermatol 1990; 23: 913-917.
15. Gormley D. Computer models and images of the cutaneous surface. Dermatol Clin 1986; 4: 641-649.
16. Cascinelli N, Ferrario M, Zurrida S, Galimberti V, Bufalino R. Results obtained using a computerized image analysis system designed as an aid to diagnosis of cutaneous melanoma. Melanoma Res 1993; 2: 163-170.
17. Dhawan A. An expert system for the early detection of melanoma using knowledge-based image analysis. Anal Quant Cytol Histol 1989; 10: 405-416.
18. Perednia D, White R, Schowengerdt R. Localization of lesions in digital images of skin. Comput Biomed Res 1989; 22: 373-392.
19. White R, Rigel D, Friedman R. Computer applications in the diagnosis and prognosis of malignant melanoma. Dermatol Clinics 1991; 9: 695-702.
20. Haykin S. Neural Networks. A Comprehensive foundation, edn. Maxwell Macmillian Canada, 1994.
21. Accorsero BN, Camozza M. Optonet neural network for visual field diagnosis. Med Biol Eng Comput 1995; 33: 223-226.
22. Lapuerta CP, Azen SP, LaBree L. Use of neural networks in predicting the risk of coronary artery disease. Comp Biomed Res 1995; 28: 38-52.