Detection of melanoma through image recognition and artificial neural networks

IFMBE Proceedings

Volumn 51, Issue , 2015, Pages 832-835

  Marín, Cristofer ^a   Alférez, Germán H ^a   Córdova, Jency ^a   González, Verenice ^a  

^a UNIVERSIDAD DE MONTEMORELOS   (Mexico)

Author keywords

Artificial intelligence; Artificial neural networks; Cutaneous neoplasia; Image processing; Melanoma; Skin cancer

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIOMEDICAL ENGINEERING; DERMATOLOGY; IMAGE RECOGNITION; NEURAL NETWORKS; ONCOLOGY;

BENIGN NEVUS; CUTANEOUS NEOPLASIA; LOW COSTS; MALIGNANT MELANOMA; MELANOMA; REMOTE AREAS; SKIN CANCERS;

IMAGE PROCESSING;

EID: 84944318438     PISSN: 16800737     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-319-19387-8_204     Document Type: Conference Paper

References (15)

1. Du Vivier, A., P. H. McKee, et al. (2002). Atlas of clinical dermatology, Churchill Livingstone Edinburgh.
2. Díaz-González, J., A. Peniche-Castellanos, et al. (2010). " [Skin cancer in adults younger than 40 years at the General Hospital of Mexico]." Gaceta medica de Mexico 147(1): 17-21.
3. Siegel, R., J. Ma, et al. (2014). "Cancer statistics, 2014." CA: a cancer journal for clinicians 64(1): 9-29.
4. Sortino-Rachou, A. M., M. P. Curado, et al. (2011). "Cutaneous melanoma in Latin America: a population-based descriptive study." Cadernos de Saúde Pública 27(3): 565-572.
5. Erdmann, F., J. Lortet-Tieulent, et al. (2013). "International trends in the incidence of malignant melanoma 1953–2008—are recent generations at higher or lower risk?" International Journal of Cancer 132(2): 385-400.
6. Corona, R., A. Mele, et al. (1996). "Interobserver variability on the histopathologic diagnosis of cutaneous melanoma and other pigmented skin lesions." Journal of clinical Oncology 14(4): 1218-1223.
7. Börve A, Terstappen K, Sandberg C, Paoli P. Mobile teledermoscopy— there’s an app for that! Dermatol Pract Conc. 2013; 3(2):5.
8. Wolf J., et al. Diagnostic Inaccuracy of Smartphone Applications for Melanoma Detection. JAMA Dermatology. 2013; 149(4):422-426.
9. Chang-Brewer, et al. Mobile Applications in Dermatology. JAMA Dermatology. 2013 Nov; 149(11):1300-1304.
10. Revosoft. Doctor Mole - Skin Cancer App [Internet]. http://www.doctormole.com/
11. Taouil K., Chtourou Z. Romdhane N. A robust system for melanoma diagnosis using heterogeneous image databases. Biomedical Science and Engineering. 2010; 3: 576-583.
12. Seidenari S., Pellacani G, Grana C. Asymmetry in Dermoscopic Melanocytic Lesion Images: a Computer Description Based on Colour Distribution. Acta Derm Venereol. 2006; 86: 123–128.
13. Chang W-Y, Huang A, Yang C-Y, Lee C-H, Chen Y-C, et al. Computer-Aided Diagnosis of Skin Lesions Using Conventional Digital Photography: A Reliability and Feasibility Study. PLoS ONE. 2013; 8(11): e76212.
14. Ferrero NA, Morrell DS, Burkhart CN. Skin scan: a demonstration of the need for FDA regulation of medical apps on iPhone. J Am Acad Dermatol. 2013 Mar; 68(3):515-6.
15. Rajasekaran, S. and G. V. Pai (2011). Neural networks, Fuzzy logic and Genetic algorithms, PHI Learning Private Limited.