Genetic Programming for Feature Selection and Feature Construction in Skin Cancer Image Classification
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-97304-3_56
Reference22 articles.
1. Abuzaghleh, O., Barkana, B.D., Faezipour, M.: Noninvasive real-time automated skin lesion analysis system for melanoma early detection and prevention. IEEE J. Transl. Eng. Health Med. 3, 1–12 (2015)
2. Ahmed, S., Zhang, M., Peng, L.: Enhanced feature selection for biomarker discovery in LC-MS data using GP. In: Proceedings of the 2013 IEEE Congress on Evolutionary Computation, pp. 584–591. IEEE (2013)
3. Ain, Q.U., Xue, B., Al-Sahaf, H., Zhang, M.: Genetic programming for skin cancer detection in dermoscopic images. In: Proceedings of the 2017 Congress on Evolutionary Computation, pp. 2420–2427. IEEE (2017)
4. Argenziano, G., Fabbrocini, G., Carli, P., De Giorgi, V., Sammarco, E., Delfino, M.: Epiluminescence microscopy for the diagnosis of doubtful melanocytic skin lesions: comparison of the ABCD rule of dermatoscopy and a new 7-point checklist based on pattern analysis. Arch. Dermatol. 134(12), 1563–1570 (1998)
5. Barata, C., Marques, J.S., Celebi, M.E.: Improving dermoscopy image analysis using color constancy. In: Proceedings of the 2014 IEEE International Conference on Image Processing, pp. 3527–3531. IEEE (2014)
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