Order Article Reprints

Diaz-Ramón JL, Gardeazabal J, Izu RM, Garrote E, Rasero J, Apraiz A, Penas C, Seijo S, Lopez-Saratxaga C, De la Peña PM, et al. Melanoma Clinical Decision Support System: An Artificial Intelligence-Based Tool to Diagnose and Predict Disease Outcome in Early-Stage Melanoma Patients. Cancers. 2023; 15(7):2174. https://doi.org/10.3390/cancers15072174

Diaz-Ramón, Jose Luis, Jesus Gardeazabal, Rosa Maria Izu, Estibaliz Garrote, Javier Rasero, Aintzane Apraiz, Cristina Penas, Sandra Seijo, Cristina Lopez-Saratxaga, Pedro Maria De la Peña, and et al. 2023. "Melanoma Clinical Decision Support System: An Artificial Intelligence-Based Tool to Diagnose and Predict Disease Outcome in Early-Stage Melanoma Patients" Cancers 15, no. 7: 2174. https://doi.org/10.3390/cancers15072174

Diaz-Ramón, J. L., Gardeazabal, J., Izu, R. M., Garrote, E., Rasero, J., Apraiz, A., Penas, C., Seijo, S., Lopez-Saratxaga, C., De la Peña, P. M., Sanchez-Diaz, A., Cancho-Galan, G., Velasco, V., Sevilla, A., Fernandez, D., Cuenca, I., Cortes, J. M., Alonso, S., Asumendi, A., & Boyano, M. D. (2023). Melanoma Clinical Decision Support System: An Artificial Intelligence-Based Tool to Diagnose and Predict Disease Outcome in Early-Stage Melanoma Patients. Cancers, 15(7), 2174. https://doi.org/10.3390/cancers15072174