PH2: A public database for the analysis of dermoscopic images

Dermoscopy Image Analysis

Volumn , Issue , 2015, Pages 419-440

  Mendoncã, Teresa F ^a   Ferreira, Pedro M ^a   Marcãl, Andre R S ^a   Barata, Catarina ^b   Marques, Jorge S ^b   Rocha, Joana ^c   Rozeira, Jorge ^b  

^a UNIVERSITY OF PORTO   (Portugal)

^b INSTITUTO SUPERIOR TÉCNICO   (Portugal)

^c HOSPITAL PEDRO HISPANO   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

DERMATOLOGY; DISEASES; ONCOLOGY;

CLINICAL DIAGNOSIS; DIAGNOSIS PROCEDURE; DIFFERENTIAL STRUCTURE; HEALTH CARE PROFESSIONALS; MORPHOLOGICAL STRUCTURES; NON-INVASIVE IMAGING; TIME-CONSUMING TASKS; VISUAL INTERPRETATION;

DIAGNOSIS;

EID: 85053954179     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1201/b19107     Document Type: Chapter

References (20)

1. G. Argenziano, H. P. Soyer, V. De Giorgi, D. Piccolo, P. Carli, M. Delfino, A. Ferrari et al., Interactive Atlas of Dermoscopy, EDRA Medical Publishing and New Media, 2000.
2. G. C. do Carmo and M. R. e Silva, Dermoscopy: Basic concepts, International Journal of Dermatology, vol. 47, pp. 712-719, 2008.
3. H. Kittler, H. Pehamberger, K. Wolff, and M. Binder, Diagnostic accuracy of dermoscopy, Lancet Oncology, vol. 3, pp. 159-165, 2002.
4. ADDI project: Automatic computer-based diagnosis system for dermoscopy images, http://www.fc.up.pt/addi.
5. W. Stolz, A. Riemann, and A. B. Cognetta, ABCD rule of dermatoscopy: A new practical method for early recognition of malignant melanoma, European Journal of Dermatology, vol. 4, pp. 521-527, 1994.
6. G. Argenziano, G. Fabbrocini, P. Carli, V. D. 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, Archives of Dermatology, vol. 12, no. 134, pp. 1563-1570, 1998.
7. S. Menzies, C. Ingvar, K. Crotty, and W. H. McCarthy, Frequency and morphologic characteristics of invasive melanomas lacking specific surface microscopic features, Archives of Dermatology, vol. 132, pp. 1178-1182, 1996.
8. M. E. Celebi, G. Schaefer, H. Iyatomi, and W. V. Stoecker, Lesion border detection in dermoscopy images, Computerized Medical Imaging and Graphics, vol. 33, pp. 148-153, 2009.
9. C. Xu and J. L. Prince, Snakes, shapes, and gradient vector flow, IEEE Transactions on Image Processing, vol. 17, no. 3, 1998.
10. C. Barata, J. S. Marques, and J. Rozeira, A system for the detection of pigment network in dermoscopy images using directional filters, IEEE Transactions on Biomedical Engineering, vol. 10, pp. 2744-2754, 2012.
11. M. Kass, A. Witkin, and D. Terzopoulos, Snakes: Active contour models, International Journal of Computer Vision, pp. 321-331, 1988.
12. J. Canny, A computational approach to edge detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 8, no. 6, pp. 679-714, 1986.
13. C. Barata, M. A. T. Figueiredo, M. E. Celebi, and J. S. Marques, Color identification in dermoscopy images using Gaussian mixture models, In IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 3611-3615, Florence, Itlay, 2014.
14. M. A. T. Figueiredo and A. K. Jain, Unsupervised learning of finite mixture models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 3, pp. 381-396, 2002.
15. H. Ganster, P. Pinz, R. Rohrer, E. Wildling, M. Binder, and H. Kittler, Automated melanoma recognition, IEEE Transactions on Medical Imaging, vol. 20, no. 3, pp. 233-239, 2001.
16. M. E. Celebi, H. Kingravi, B. Uddin, H. Iyatomi, Y. Aslandogan, W. Stoecker, and R. Moss, A methodological approach to the classification of dermoscopy images, Computerized Medical Imaging and Graphics, vol. 31, pp. 362-373, 2007.
17. H. Iyatomi, H. Oka, M. E. Celebi, M. Hashimoto, M. Hagiwara, M. Tanaka, and K. Ogawa, An improved Internet-based melanoma screening system with dermatologist-like tumor area extraction algorithm, Computerized Medical Imaging and Graphics, vol. 32, pp. 566-579, 2008.
18. Q. Abbas, M. E. Celebi, I. F. Garcia, and W. Ahmad, Melanoma recognition framework based on expert definition of ABCD for dermoscopic images, Skin Research and Technology, vol. 19, pp. e93-e102, 2013.
19. C. Barata, M. Ruela, M. Francisco, T. Mendonça, and J. S. Marques, Two systems for the detection of melanomas in dermoscopy images using texture and color features, IEEE Systems Journal, vol. 8, no. 3, pp. 965-979, 2014.
20. C. Barata, M. Ruela, T. Mendonça, and J. S. Marques, A bag-of-features approach for the classification of melanomas in dermoscopy images: The role of color and texture descriptors, In Computer Vision Techniques for the Diagnosis of Skin Cancer (J. Scharcanski and M. E. Celebi, eds.), pp. 49-69, Springer, Berlin, 2014.