Epiluminescence image processing for melanocytic skin lesion diagnosis based on 7-point check-list: A preliminary discussion on three parameters

Open Dermatology Journal

Volumn 4, Issue 1, 2010, Pages 110-115

  Fabbrocini, Gabriella ^a   Betta, Giovanni ^b   Di Leo, Giuseppe ^c   Liguori, Consolatina ^c   Paolillo, Alfredo ^c   Pietrosanto, Antonio ^c   Sommella, Paolo ^c   Rescigno, Orsola ^a   Cacciapuoti, Sara ^a   Pastore, Francesco ^a   De Vita, Valerio ^a   Mordente, Ines ^a   Ayala, Fabio ^a  

^a UNIVERSITY OF NAPLES FEDERICO II   (Italy)

^b UNIVERSITY OF CASSINO AND SOUTHERN LAZIO   (Italy)

^c UNIVERSITY OF SALERNO   (Italy)

Author keywords

7 point check list; Blue whitish veil; Epiluminescence; Image processing; Irregular streaks; Melamoma diagnosis; Regression structures

Indexed keywords

EID: 84896349180     PISSN: None     EISSN: 18743722     Source Type: Journal    
DOI: 10.2174/1874372201004010110     Document Type: Article

References (23)

1. Leiter U, Buttner PG, Eigentler TK, Garbe C. Prognostic factors of thin cutaneous melanoma: an analysis of the central malignant melanoma registry of the German Dermatological Society. J Clin Oncol 2004; 22: 3660-7.
2. Grimaldi L, Silvestri A, Brandi C, et al. Digital epiluminescence dermoscopy for pigmented cutaneous lesions, primary care physicians, and telediagnosis: a useful tool? J Plast Reconstr Aesthet Surg 2009; 62(8): 1054-8.
3. Binder M, Schwarz M, Winkler A, et al. Epiluminescence microscopy: a useful tool for the diagnosis of pigmented skin lesion for formally trained dermatologists. Arch Dermatol 1995; 131(3): 286-91.
4. Mayer J. Systematic review of the diagnostic accuracy of dermatoscopy in detecting malignant melanoma. Med J Aust 1997; 167: 206-10.
5. Argenziano G, Soyer HP, Chimenti S, et al. Dermoscopy of pigmented skin lesions: results of a consensus meeting via the Internet. J Am Acad Dermatol 2003; 48(5): 679-93.
6. Argenziano G, Fabbrocini G, Carli P, De Giorgi V, Sammarco E, Delfino M. Epiluminescence microscopy for the diagnosis of doubtful melanocytic skin lesions. Comparison of the ABCD rule of dermatoscopy and a new 7-point checklist based on pattern analysis. Arch Dermatol 1998; 134(12): 1563-70.
7. Piccolo D, Ferrari A, Peris K, et al. Dermoscopy diagnosis by a trained clinicians vs a clinician with minimal dermoscopy training vs computer-aided diagnosis of 341 pigmented skin lesions: a comparative study. Br J Dermatol 2002; 147: 481-6.
8. Ganster H, Pinz A, Röhrer R, et al. Automated melanoma recognition. IEEE Trans Med Imaging 2001; 20(3): 233-9.
9. Schmid P. Segmentation of digitized dermatoscopic images by two-dimensional color clustering. IEEE Trans Med Imaging 1999; 18(2): 164-71.
10. Schmid-Saugeon P, Guillod J, Thiran JP. Towards a computeraided diagnosis system for pigmented skin lesions. Comput Med Imaging Graph 2003; 27(1): 65-78.
11. Umbaugh SE, Moss RH, Stocker WV, Hance GA. Automatic color segmentation algorithms with application to skin tumor feature identification. IEEE Eng Med Biol Mag 1993; 12(3): 75-82
12. Grana C, Pellacani G, Cucchiara R, Seidenari S. A new algorithm for border description of polarized light surface microscopic images of pigmented skin lesions. IEEE Trans Med Imaging 2003; 22(8): 959-64.
13. Burroni M, Corona R, Dell'Eva G, et al. Melanoma computer-aided diagnosis: reliability and feasibility study. Clin Cancer Res 2004; 10(6): 1881-6.
14. Liguori C, Paolillo A, Pietrosanto A. An automatic measurement system for the evaluation of carotid intima-media thickness. IEEE Trans Instrum Meas 2001; 50(6): 1684-91.
15. Levy A, Lindenbaum M. Sequential Karhuen-Loeve basis extraction and its Application to images. IEEE Trans Image Process 2000; 9(8): 1371-4.
16. Ballard DH, Brown CM. Computer vision. New Jersey NJ: Prentice Hall 1982.
17. Gonzalez RC, Woods RE. Digital image processing. New Jersey NJ: Prentice Hall 2002.
18. Hoffmann K, Gambichler T, Rick A, et al. Diagnostic and neural analysis of skin cancer (DANAOS). A multicentre study for collection and computer-aided analysis of data from pigmented skin lesions using digital dermoscopy. Br J Dermatol 2003; 149(4): 801-9.
19. Argenziano G, Soyer HP, De Giorgi V, et al. Interactive atlas of dermoscopy. Milan: EDRA Medical Publishing & New Media 2002.
20. Otsu N. A threshold selection method from gray-level histogram. IEEE Trans Syst Man Cybern 1979; 9(1): 62-6.
21. Di Leo G, Fabbrocini G, Paolillo A, et al. Towards an Automatic Diagnosis System for Skin Lesions: Estimation of Blue-Whitish Veil and Regression Structures. In: Proceedings of the IEEE 6th International Multi-Conference on System, Signals and Devices (SSD '09), Djerba, Tunisia, March 2009; pp. 1-6.
22. Landwehr N, Hall M, Frank E. Logistic Model Trees. In: Proceedings of the 14th European Conference on Machine Learning (ECML '03), Cavtat-Dubrovnik, Croatia, September 2003; pp. 241-252.
23. Witten IH, Frank E. Data mining: practical machine learning tools and techniques. San Francisco: Morgan Kaufmann 2005.