A comparative study of fourteen deep learning networks for multi skin lesion classification (MSLC) on unbalanced data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-06922-1.pdf
Reference39 articles.
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3. Nasiri S, Helsper J, Jung M, Fathi M (2020) DePicT Melanoma Deep-CLASS: a deep convolutional neural networks approach to classify skin lesion images. BMC bioinform 21:1–3. https://doi.org/10.1186/s12859-020-3351-y
4. Mukherjee S, Adhikari A, Roy M (2019) Malignant melanoma classification using cross-platform dataset with deep learning CNN architecture. In: Bhattacharyya S, Pal SK, Pan I, Das A (eds) Recent trends in signal and image processing 2019. Springer, Singapore, pp 31–41
5. Seeja RD, Suresh A (2019) Deep learning based skin lesion segmentation and classification of melanoma using support vector machine (SVM). Asian Pac J of Cancer Prev APJCP 20(5):1555
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