1. Dildar, M., Akram, S., Irfan, M., Khan, H.U., Ramzan, M., Mahmood, A.R., et al.: Skin cancer detection: a review using deep learning techniques. Int. J. Environ. Res. Public Health 18(10), 5479 (2021)
2. WHO.: Radiation: Ultraviolet (UV) radiation and skin cancer. (2023). Available from: https://www.who.int/news-room/questions-and-answers/item/radiation- ultraviolet-(uv)-radiation-and-skin-cancer
3. Rundo, F., Banna, G.L., Conoci, S.: Bio-inspired deep-CNN pipeline for skin cancer early diagnosis. Computation 7(3), 44 (2019)
4. Warszawik-Hendzel, O., Olszewska, M., Maj, M., Rakowska, A., Czuwara, J., Rudnicka, L.: Non-invasive diagnostic techniques in the diagnosis of squamous cell carcinoma. J. Dermatol. Case Rep. 9(4), 89 (2015)
5. Vesal, S., Patil, S.M., Ravikumar, N., Maier, A.K.: A Multi-task Framework for Skin Lesion Detection and Segmentation. arXiv:1808.01676