Revolutionizing Dermatology: A Comprehensive Survey of AI-Enhanced Early Skin Cancer Diagnosis
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11831-024-10121-7.pdf
Reference51 articles.
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2. Aravindan JSMMPC, Appavu R (2023) Classification of skin cancer from dermoscopic images using deep neural network architectures. Multimedia Tools Appl 82(10):15763–15778. https://doi.org/10.1007/s11042-022-13847-3
3. Gururaj HL, Manju N, Nagarjun A, Manjunath Aradhya VN, Flammini F (2023) DeepSkin: a deep learning approach for skin cancer classification. IEEE Access 11(May):50205–50214, https://doi.org/10.1109/ACCESS.2023.3274848
4. Yang G, Luo S, Greer P (2023) A novel vision transformer model for skin cancer classification. Neural Process Lett. https://doi.org/10.1007/s11063-023-11204-5
5. Alsahafi YS, Kassem MA, Hosny KM (2023) Skin-Net: a novel deep residual network for skin lesions classification using multilevel feature extraction and cross-channel correlation with detection of outlier. J Big Data 10(1). https://doi.org/10.1186/s40537-023-00769-6
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