Scope
In collaboration with the Dermatology Unit of Virgen del Rocío University Hospitals and Bajo Guadalquivir Hospitals we aim at developing detection systems for dermatoscopic images of melanocytic lesions that can assist the dermatologist in malignancy assessment.
As opposed to most of the existing work in skin pigmented lesion CAD, we do not apply the ABCD (Asymmetry, Border, Color, Diameter) rule but instead follow an emerging trend in dermatology: assessing the malignancy of the lesion in terms of the distribution of variations in the pigmented networks typically found in this type of skin lesion.
Collaborations
Fundación Pública Andaluza para la Gestión de la Investigación en Salud de Sevilla (FISEVI)
Hospitales Universitarios Virgen del Rocío
Agencia Sanitaria Bajo Guadalquivir
Funding
CAD tool for the first treatment of burn patients (TIC2002-01401)
Multispectral image analysis for the diagnosis of pigmented lesions(TIC-7727)
Images
Publications
- Mendoza, C.S., Serrano, C., Acha, B. Pattern analysis of dermoscopic images based on FSCM color markov random fields (2009) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5807 LNCS, pp. 676-685.
- Serrano, C., Acha, B. Pattern Analysis of Dermoscopic Images Based on Markov Random Fields: Digital Image Processing and Pattern Recognition Techniques for the Detection of Cancer. Pattern Recognition . Vol. 42. Núm. 6. 2009. Pag. 1052-1057
- Mendoza, C.S., Serrano, C., Acha, B. Scale invariant descriptors in pattern analysis of melanocytic lesions (2009) Image Processing (ICIP), 2009 16th IEEE International Conference on , pp.4193-4196, 7-10 Nov. 2009
- Mendoza, C.S., Serrano, C., Acha, B. Descriptores Invariantes a la Escala en el Análisis de Patrones de Lesiones Melanocíticas. XXIV Simposium Nacional de la Unión Científica Internacional de Radio (URSI 2009). Simposium Nacional de la Unión Científica Internacional de Radio (URSI 2009) (24). Num. 24. Santander. URSI. 2009. Pag. 135-135.
- Mendoza, C.S., Serrano, C., Acha, B. Análisis de Patrones en Imágenes Dermatoscópicas Basado en Campos Aleatorios de Markov FSCM en Color. Actas del XXIII Symposium Nacional de la Unión Científica de Radio. Ursi’08. XXIII Simposium Nacional de la Unión Científica Internacional de Radio (URSI 2008) (23). Madrid, España. XXIII Simposium Nacional de la Unión Científica Internacional de Radio (URSI). 2008. Pag. 51-51
- Fondón, I., Serrano, C., Acha, B. Segmentation of Skin Cancer Images Based on Multistep Region Growing. Proceedings of the International Conference on Machine Vision and Applications (Iapr Mva 2007). International Conference on Machine Vision and Applications (Iapr Mva 2007) (10). Num. 10. Tokio, Japón. Iapr. 2007. Pag. 339-342.
