Skin lesion classification on dermatoscopic images using effective data augmentation and pre-trained deep learning approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-14095-1.pdf
Reference54 articles.
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2. Akram T, Lodhi HMJ, Naqvi SR, Naeem S, Alhaisoni M, Ali M, Qadri NN (2020) A multilevel features selection framework for skin lesion classification. HCIS 10(1):1–26. https://doi.org/10.1186/s13673-020-00216-y
3. Aldwgeri A, Abubacker NF (2019) Ensemble of deep convolutional neural network for skin lesion classification in dermoscopy images. In: International visual informatics conference. Springer, Cham, pp 214–226. https://doi.org/10.1007/978-3-030-34032-2_20
4. Ali MS, Miah MS, Haque J, Rahman M, Islam MK (2021) An enhanced technique of skin cancer classification using deep convolutional neural network with transfer learning models. Mach Learn Appl 5:100036. https://doi.org/10.1016/j.mlwa.2021.100036
5. Alqudah AM, Alquraan H, Qasmieh IA (2019) Segmented and non-segmented skin lesions classification using transfer learning and adaptive moment learning rate technique using pretrained convolutional neural network. In: Journal of biomimetics, biomaterials and biomedical engineering, vol 42. Trans Tech Publications Ltd, pp 67–78
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