Skin Cancer Detection and Classification for Moles Using K-Nearest Neighbor Algorithm
Author:
Affiliation:
1. School of Electrical, Electronics, and Computer Engineering, Mapúa University, Manila, Philippines
2. College of Engineering Education, Computer Engineering Program, University of Mindanao, Davao City, Philippines
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3309129.3309141
Reference15 articles.
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3. Mathematical Morphology aided Shape, Texture, and Colour Feature Extraction from Skin Lesion for Identification of Malignant Melanoma," in 2015 International Conference on Condition Assessment Techniques in Electrical Systems (CATCON);Chatterjee D.;IEEE,2015
4. A. J. Moy X. Feng H. T. M. Nguyen Y. Zhang K. R. Sebastian J. S. Reichenberg and J. W. Tunnell "Spectral Biopsy for Skin Cancer Diagnosis: Initial Clinical Results " in Proc. SPIE 10037 Photonics in Dermatology and Plastic Surgery 1003704; http://dx.doi.org/10.1117/12.2251293 February 9 2017. A. J. Moy X. Feng H. T. M. Nguyen Y. Zhang K. R. Sebastian J. S. Reichenberg and J. W. Tunnell "Spectral Biopsy for Skin Cancer Diagnosis: Initial Clinical Results " in Proc. SPIE 10037 Photonics in Dermatology and Plastic Surgery 1003704; http://dx.doi.org/10.1117/12.2251293 February 9 2017.
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