2023
DOI: 10.1007/s11042-022-14267-z
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Skin lesion analysis using generative adversarial networks: a review

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Cited by 9 publications
(2 citation statements)
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References 57 publications
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“…Pacheco and Krohling [10] 2019 Reviewed deep learning models for skin cancer classification Lucieri et al [11] 2021 Reviewed deep-learning-based decision support in skin cancer diagnosis Adegun and Viriri [12] 2021 Reviewed deep learning techniques for skin lesion analysis and melanoma cancer detection Dildar et al [13] 2021 Reviewed deep learning algorithms for skin cancer classification Gilani and Marques [14] 2023 Reviewed skin lesion classification and segmentation using generative adversarial networks (GANs)…”
Section: Paper Year Scopementioning
confidence: 99%
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“…Pacheco and Krohling [10] 2019 Reviewed deep learning models for skin cancer classification Lucieri et al [11] 2021 Reviewed deep-learning-based decision support in skin cancer diagnosis Adegun and Viriri [12] 2021 Reviewed deep learning techniques for skin lesion analysis and melanoma cancer detection Dildar et al [13] 2021 Reviewed deep learning algorithms for skin cancer classification Gilani and Marques [14] 2023 Reviewed skin lesion classification and segmentation using generative adversarial networks (GANs)…”
Section: Paper Year Scopementioning
confidence: 99%
“…This review article can be the foundation for developing more accurate, efficient deep learning algorithms for skin cancer detection. Some reviews have been written on skin cancer detection as listed in Table 1; for example, Pacheco and Krohling [10], Lucieri et al [11], Adegun and Viriri [12], Dildar et al [13] reviewed deep learning algorithms for skin cancer detection, and Gilani and Marques [14] reviewed the role of GANs in skin lesion analysis. Our paper differs from the review articles published in this area as we review the most recent papers published in 2021 and 2022.…”
Section: Introductionmentioning
confidence: 99%