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JBE, vol. 23, no. 5, pp.669-681, September, 2018

DOI: https://doi.org/10.5909/JBE.2018.23.5.669

Deep Learning Algorithm to Identify Cancer Pictures

Young-Min Seo and Jong-Ki Han

C.A E-mail: hjk@sejong.edu

Abstract:

CNN (Convolution Neural Network) is one of the most important techniques to identify the kind of objects in the captured pictures. Whereas the conventional models have been used for low resolution images, the technique to recognize the high resolution images becomes crucial in the field of artificial intelligence. In this paper, we proposed an efficient CNN model based on dilated convolution and thresholding techniques to increase the recognition ratio and to decrease the computational complexity. The simulation results show that the proposed algorithm outperforms the conventional method and the thresholding technique enhances the performance of the proposed model.



Keyword: CNN, Dilated Convolution, Image Recognition

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