Deep ensemble model for skin cancer classification with improved feature set
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-19039-5.pdf
Reference45 articles.
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2. Armenian SH, Lindenfeld L, Iukuridze A et al (2020) Technology-enabled activation of skin cancer screening for hematopoietic cell transplantation survivors and their primary care providers (TEACH). BMC Cancer 20:721. https://doi.org/10.1186/s12885-020-07232-2
3. Saba T, Khan MA, Rehman A et al (2019) Region extraction and classification of skin cancer: a heterogeneous framework of deep cnn features fusion and reduction. J Med Syst 43:289. https://doi.org/10.1007/s10916-019-1413-3
4. Thanh D, Prasath VBS, Hieu L et al (2020) Melanoma skin cancer detection method based on adaptive principal curvature, colour normalisation and feature extraction with the ABCD rule. J Digit Imaging 33:574–585. https://doi.org/10.1007/s10278-019-00316-x
5. Murugan A, Nair SH, Kumar KPS (2019) Detection of skin cancer using svm, random forest and knn classifiers. J Med Syst 43:269. https://doi.org/10.1007/s10916-019-1400-8
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