Skin Cancer Detection from Dermatoscopic Images Using Hybrid Fuzzy Ensemble Learning Model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software,Information Systems,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s40815-023-01593-z.pdf
Reference50 articles.
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3. National Cancer Institute. https://www.cancer.gov/about-cancer/understanding/what-is-cancer (2021)
4. Dildar, M., Akram, S., Irfan, M., Khan, H.U., Ramzan, M., Mahmood, A.R., Alsaiari, S.A., Saeed, A.H.M., Alraddadi, M.O., Mahnashi, M.H.: Skin cancer detection: a review using deep learning techniques. Int. J. Environ. Res. Public Health 18, 5479 (2021)
5. Argenziano, G., Fabbrocini, G., Carli, P., Giorgi, V., De, S.E., Delfino, M.: Epiluminescence microscopy for the diagnosis of doubtful melanocytic skin lesions: comparison of the ABCD rule of dermatoscopy and a new 7-point checklist based on pattern analysis. Arch. Dermatol. 134, 1563–1570 (1998)
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