Academic Journal of Engineering and Technology Science, 2020, 3(6); doi: 10.25236/AJETS.2020.030611.
Xiangli Kong
Cannon School, Concord, NC, USA
The purpose of this project is trying to detect tumors by computer based on deep learning techniques when a picture of a tumor is shown. In this research, a fast and accurate colon cancer detection is proposed, which means this research can dramatically increase the speed of diagnosis and can also improve the accuracy of confirming a diagnosis. During the experiment, a Convolutional Neural Network (CNN) structure akin to that of VGG Net and ResNet was built. A GPU computer with two 2080 Ti GPUs was used for training. The result of training produced 94% accuracy with a loss lower than 10%. Respectively, this result improved over 10% of accuracy compared to the detection by human eyes. Lastly, this program can be used by any computer to predict the tumor, which allows it transits to a practical tool in the future.
Accurate, Convolutional Neural Network(CNN)
Xiangli Kong. Research on the Accurate Detection System Based on the Convolutional Neural Network. Academic Journal of Engineering and Technology Science (2020) Vol. 3 Issue 6: 94-102. https://doi.org/10.25236/AJETS.2020.030611.
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