Toward a combined tool to assist dermatologists in melanoma detection from dermoscopic images of pigmented skin lesions

Pattern Recognition Letters

Volumn 32, Issue 16, 2011, Pages 2187-2196

  Capdehourat, Germán ^a   Corez, Andrés ^a   Bazzano, Anabella ^a   Alonso, Rodrigo ^a   Musé, Pablo ^a  

^a UNIVERSIDAD DE LA REPÚBLICA   (Uruguay)

Author keywords

Adaptive boosting; Decision trees; Dermoscopy; Melanoma; Pigmented skin lesion classification; Support vector machines

Indexed keywords

BENIGN LESION; CLASSIFICATION FRAMEWORK; CLASSIFICATION PROCEDURE; DERMOSCOPY; FEATURE VECTORS; GLOBAL PARAMETERS; HAIR REMOVAL; IMAGE DATABASE; IMAGE PREPROCESSING; IMAGE SEGMENTATION ALGORITHM; MACHINE LEARNING TECHNIQUES; MACHINE-LEARNING; MALIGNANT MELANOMA; MELANOCYTIC LESION; MELANOMA; MELANOMA DETECTION; PIGMENTED SKIN LESIONS; SUPPORT VECTOR; TEXTURE INFORMATION; VISUAL INSPECTION;

ADAPTIVE BOOSTING; ALGORITHMS; DECISION TREES; IMAGE RETRIEVAL; IMAGE SEGMENTATION; LEARNING SYSTEMS; ONCOLOGY; PLANT EXTRACTS; TEXTURES;

DERMATOLOGY;

EID: 80755146092     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2011.06.015     Document Type: Conference Paper

References (37)

1. G. Argenziano, G. Fabbrocini, P. Carli, V. De Giorgi, E. Sammarco, and M. Delfino 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. 134 1998 1563 1570 (Pubitemid 29009257)
2. G. Betta, G. Di-Leo, G. Fabbrocini, A. Paolillo, and P. Sommella Dermoscopic image-analysis system: Estimation of atypical pigment network and atypical vascular pattern MEMEA '06: Proceedings of the IEEE International Workshop on Medical Measurement and Applications, 2006 2006 IEEE Computer Society Washington, DC, USA pp. 63-67
3. F. Cao, P. Musé, and F. Sur Extracting meaningful curves from images J. Math. Imaging Vision 22 2-3 2005 159 181
4. G. Capdehourat, A. Corez, A. Bazzano, and P. Musé Pigmented skin lesions classification using dermatoscopic images CIARP '09: Proceedings of the 14th Iberoamerican Conference on Pattern Recognition 2009 Springer-Verlag Berlin, Heidelberg pp. 537-544
5. Cardelino, J.; Randall, G.; Bertalmio, M.; Caselles, V.; 2006. Region based segmentation using the tree of shapes. In: Proc. IEEE Internat. Conf. on Image Process.
6. N. Cascinelli, M. Ferrario, T. Tonelli, and E. Leo A possible new tool for clinical diagnosis of melanoma: The computer J. Amer. Acad. Dermatol. 16 2 1987 361 367 (Pubitemid 17013730)
7. V. Caselles, R. Kimmel, and G. Sapiro Geodesic active contours Internat. J. Comput. Vision 22 1 1997 61 79 (Pubitemid 127507390)
8. M.E. Celebi, H. Iyatomi, W.V. Stoeckler, R.H. Moss, H.S. Rabinovitz, G. Argenziano, and H.P. Soyer Automatic detection of blue-white veil and related structures in dermoscopy images Comput. Med. Imaging Graph.: Official J. Comput. Med. Imaging Soc. 32 2008 670 677
9. M.E. Celebi, H.A. Kingravi, B. Uddin, H. Iyatomi, Y.A. Aslandogan, W.V. Stoecker, and R.H. Moss A methodological approach to the classification of dermoscopy images Comput. Med. Imaging Graph. 31 6 2007 362 373 (Pubitemid 47044964)
10. A. Criminisi, P. PTrez, and K. Toyama Region filling and object removal by exemplar-based image inpainting IEEE Trans. Image Process. 13 2004 1200 1212
11. G. Di-Leo, G. Fabbrocini, A. Paolillo, O. Rescigno, and P. Sommella Estimation of chromatic parameters for automatic diagnosis of skin lesions MASAUM J. Comput. 1 3 2009 369 376
12. G. Di-Leo, A. Paolillo, P. Sommella, and G. Fabbrocini Automatic diagnosis of melanoma: A software system based on the 7-point check-list HICSS 2010 IEEE Computer Society pp. 1-10
13. C. Dolianitis, J. Kelly, R. Wolfe, and P. Simpson Comparative performance of 4 dermoscopic algorithms by nonexperts for the diagnosis of melanocytic lesions Arch. Dermatol. 141 8 2005 1008 1014 (Pubitemid 46165524)
14. Fiori, M.; Musé, P.; Aguirre, S.; Sapiro, G.; 2010. Automatic colon polyp flagging via geometric and texture features. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 (August 2010), pp. 3170-3173.
15. Y. Freund, and R.E. Schapire A decision-theoretic generalization of on-line learning and an application to boosting J. Comput. Syst. Sci. 55 1 1997 119 139 (Pubitemid 127433398)
16. H. Ganster, A. Pinz, R. Rhrer, E. Wildling, M. Binder, and H. Kittler Automated melanoma recognition IEEE Trans. Med. Imaging 20 2001 233 239 (Pubitemid 32495667)
17. Hall, M.A.; 2000. Correlation-based feature selection for discrete and numeric class machine learning. In: ICML '00: Proc. Seventh Internat. Conf. on Mach. Learning. San Francisco, CA, USA, pp. 359-366.
18. P. Heckbert Color image quantization for frame buffer display SIGGRAPH Comput. Graph. 16 3 1982 297 307 (Pubitemid 13492361)
19. R.H. Johr Dermoscopy: Alternative melanocytic algorithms - The abcd rule of dermatoscopy, menzies scoring method, and 7-point checklist Clinics Dermatol. 20 3 2002 240 247 (Pubitemid 34628890)
20. G. Koepfler, C. Lopez, and J.M. Morel A multiscale algorithm for image segmentation by variational method SIAM J. Numer. Anal. 31 1 1994 282 299
21. T. Lee, V. Ng, R. Gallagher, and A. Coldman Dullrazor: A software approach to hair removal from images Comput. Biol. Med. 27 11 1997 533 543 (Pubitemid 28007991)
22. H. Lorentzen, K. Weismann, R. Kenet, L. Secher, and F. Larsen Comparison of dermatoscopic ABCD rule and risk stratification in the diagnosis of malignant melanoma Acta Derm. Venereol. 80 2 2000 122 126
23. H. Lorentzen, K. Weismann, L. Secher, C. Petersen, and F. Larsen The dermatoscopic ABCD rule does not improve diagnostic accuracy of malignant melanoma Acta Derm. Venereol. 79 1999 469 472
24. V.K. Madasu, and B.C. Lovell Blotch detection in pigmented skin lesions using fuzzy co-clustering and texture segmentation Digital Image Comput.: Tech. Appl. 0 2009 25 31
25. S. Menzies, C. Ingvar, K. Crotty, and W. McCarthy Frequency and morphologic characteristics of invasive melanoma lacking specific surface microscopic features Arch. Dermatol. 132 1996 1178 1182 (Pubitemid 26343965)
26. F. Nachbar, W. Stolz, T. Merkle, A. Cognetta, T. Vogt, M. Landthaler, P. Bilek, O. Braun-Falco, and G. Plewig The ABCD rule of dermatoscopy: High prospective value in the diagnosis of doubtful melanocytic skin lesions J. Amer. Acad. Dermatol. 30 4 1994 551 559
27. N. Nitesh V. Chawla, K. Bowyer, L. Hall, and W. Kegelmeyer Smote: Synthetic minority over-sampling technique J. Artif. Intell. Res. (JAIR) 16 2002 321 357 (Pubitemid 43057176)
28. N. Otsu A threshold selection method from gray-level histograms IEEE Trans. Syst. Man Cybernet. 9 1 1979 62 66 (Pubitemid 9413341)
29. N. Paragios, and R. Deriche Geodesic active regions: A new framework to deal with frame partition problems in computer vision J. Visual Commun. Image Representation 13 2002 249 268 (Pubitemid 34278494)
30. G. Pellacani, C. Grana, R. Cucchiara, and S. Seidenari Automated extraction and description of dark areas in surface microscopy melanocytic lesion images Dermatology 208 2003 21 26 (Pubitemid 38142329)
31. R.J. Quinlan C4.5: Programs for Machine Learning (Morgan Kaufmann Series in Machine Learning) 1993 Morgan Kaufmann
32. M. Robnik-Šikonja, and I. Kononenko Theoretical and empirical analysis of relieff and rrelieff Mach. Learn. 53 1-2 2003 23 69
33. P. Rubegni, M. Burroni, G. Dell'eva, and L. Andreassi Digital dermoscopy analysis for automated diagnosis of pigmented skin lesion Clinics Dermatol. 20 3 2002 309 312 (Pubitemid 34628903)
34. B. Schlkopf, and A.J. Smola Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond 2001 The MIT Press
35. H. Soyer, G. Argenizano, R. Hofmann-Wellenhof, and R. Johr Color Atlas of Melanocytic Lesions of the Skin 2007 Springer
36. W. Stoecker, K. Gupta, R. Stanley, R. Moss, and B. Shrestha Detection of asymmetric blotches (asymmetric structureless areas) in dermoscopy images of malignant melanoma using relative color Skin Res. Technol. 11 2005 179 184 (Pubitemid 40990764)
37. W. Stolz, A. Riemann, A. Cognetta, and L. Pillet Abcd rule of dermatoscopy: A new practical method for early recognition of malignant melanoma Eur. J. Dermatol. 4 1994 521 527 (Pubitemid 24349113)