An Accurate Detection System Based on the Convolutional Neural Network. Issue 3 (October 2020)

• Record Type: Journal Article
• Authors: Kong, Xiangli
• Is Part Of: Journal of physics. Volume 1650:Issue 3(2020)
• Publication Date: 2020-10
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1650/3/032066
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: 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.