Deep Learning-Based Multiple Skin Lesion Classification
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-62502-2_89
Reference10 articles.
1. Maranduca, M.A., Hurjui, L.L., Branisteanu, D.C., Serban, D.N., Branisteanu, D.E., et al.: Skin - a vast organ with immunological function (review). Exp. Ther. Med. 20(1), 18–23 (2020). https://doi.org/10.3892/etm.2020.8619
2. Mikolajczyk, M., Patrzyk, S., Nieniewski, M., Wozniacka, A.: Evaluation of a smartphone application for diagnosis of skin diseases. Postepy Dermatol. Alergol. 38(5), 761–766 (2021). https://doi.org/10.5114/ada.2020.101258
3. Naqvi, M., Gilani, S.Q., Syed, T., Marques, O., Kim, H.-C.: Skin cancer detection using deep learning—a review. Diagnostics 13(11), 1911 (2023). https://doi.org/10.3390/diagnostics13111911
4. Inthiyaz, S., Altahan, B.R., Ahammad, S.H., Rajesh, V., Kalangi, R.R., et al.: Skin disease detection using deep learning. Adv. Eng. Softw. 175, 103361 (2023). https://doi.org/10.1016/j.advengsoft.2022.103361
5. Rashid, J., Ishfaq, M., Ali, G., Saeed, M., Hussain, M., et al.: Skin cancer disease detection using transfer learning technique. Appl. Sci. 12(11), 5714 (2022). https://doi.org/10.3390/app12115714
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