Skin Cancer Detection and Classification for Moles Using K-Nearest Neighbor Algorithm-Reference-Cited by-同舟云学术

Skin Cancer Detection and Classification for Moles Using K-Nearest Neighbor Algorithm

Published:2018-12-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 5th International Conference on Bioinformatics Research and Applications
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Author:

Linsangan Noel B.¹,Adtoon Jetron J.²

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.

1. Skin Cancer Recognition by Using a Neuro-Fuzzy System

2. Artificial Neural Network Based Detection of Skin Cancer." in International Journal of Advance Research in Electrical, Electronics, and Instrumentation Engineering;Dr J.;ISSN 2278--8875,2012

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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