Order Article Reprints

Nielsen PS, Georgsen JB, Vinding MS, Østergaard LR, Steiniche T. Computer-Assisted Annotation of Digital H&E/SOX10 Dual Stains Generates High-Performing Convolutional Neural Network for Calculating Tumor Burden in H&E-Stained Cutaneous Melanoma. International Journal of Environmental Research and Public Health. 2022; 19(21):14327. https://doi.org/10.3390/ijerph192114327

Nielsen, Patricia Switten, Jeanette Baehr Georgsen, Mads Sloth Vinding, Lasse Riis Østergaard, and Torben Steiniche. 2022. "Computer-Assisted Annotation of Digital H&E/SOX10 Dual Stains Generates High-Performing Convolutional Neural Network for Calculating Tumor Burden in H&E-Stained Cutaneous Melanoma" International Journal of Environmental Research and Public Health 19, no. 21: 14327. https://doi.org/10.3390/ijerph192114327

Nielsen, P. S., Georgsen, J. B., Vinding, M. S., Østergaard, L. R., & Steiniche, T. (2022). Computer-Assisted Annotation of Digital H&E/SOX10 Dual Stains Generates High-Performing Convolutional Neural Network for Calculating Tumor Burden in H&E-Stained Cutaneous Melanoma. International Journal of Environmental Research and Public Health, 19(21), 14327. https://doi.org/10.3390/ijerph192114327