Kunstig intelligens i aknebehandling

Referanser

  1. Hao W, Wenjian Y, Yuanqing W, Jun Z, Xiaolong L, Zhexiang K, et al. Acne Detection and Severity Evaluation with Interpretable Convolutional Neural Network Models. Technol Health Care. [Internet]. 2022. (Accessed on June 7, 2022);30:S143-S153. Available at: https://doi.org/10.1371/journal.pone.0253421

  2. Razˇnatović Đurović M, Janković J, Đurović M, Spirić J, Janković S. Adolescents’ beliefs and perceptions of acne vulgaris: A cross-sectional study in Montenegrin schoolchildren. PLoS ONE. [Internet]. 2022. (Accessed on June 7, 2022);16(6): e0253421. Available at: https://doi.org/10.1371/journal.pone.0253421

  3. Junayed MS, Islam MB, Jeny AA, Sadeghzadeh A, Biswas T, Shah AFMS. ScarNet: Development and Validation of a Novel Deep CNN Model for Acne Scar Classification With a New Dataset. IEEE Access.  [Internet]. 2022. (Accessed on June 7, 2022);10:1245-1258. Available at: https://doi.org/10.1109/ACCESS.2021.3138021

NON-2023-2589/03-2023