Artificial Intelligence Framework for Skin Cancer Detection
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-9669-5_53
Reference14 articles.
1. Revathi, V.L., Chithra, A.S.: A review on segmentation techniques in lesion on skin images. Int. Res. J. Eng. Technol. (IRJET) 2(9) (2015)
2. Hemalatha, R.J., Babu, B., Dhivya, A.J.A., Thamizhvani, T.R., Chandrasekaran, J.E.J.R.: A comparison of filtering and enhancement methods in malignant melanoma images. In: IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI) (2017)
3. Ma, L., Staunton, R.C.: Analysis of the contour structural irregularity of skin lesions using wavelet decomposition. Pattern Recogn. 46, 98–106 (2013)
4. Ray, P.J., Priya, S., Kumar, T.A.: Nuclear segmentation for skin cancer diagnosis from histopathological images. In: IEEE Proceedings of 2015 Global Conference on Communication Technologies (GCCT) (2015)
5. Li, D.-C., Liu, C.-W., Hu, S.C.: A fuzzy-based data transformation for feature extraction to increase classification performance with small medical data sets. Artif. Intell. Med. 52, 45–52 (2011)
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