Proceedings of the Korea Information Processing Society Conference (한국정보처리학회:학술대회논문집)
- 2022.05a
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- Pages.309-311
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- 2022
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- 2005-0011(pISSN)
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- 2671-7298(eISSN)
DOI QR Code
Image Recognition System for Early Detection of Oral Cancer
구강암 조기발견을 위한 영상인식 시스템
- Cahyadi, Edward Dwijayanto ;
- Song, Mi-Hwa (School of Smart IT, Semyung University)
- Published : 2022.05.17
Abstract
Oral cancer is a type of cancer that has a high possibility to be cured if it is threatened earlier. The convolutional neural network is very popular for being a good algorithm for image recognition. In this research, we try to compare 4 different architectures of the CNN algorithm: Convnet, VGG16, Inception V3, and Resnet. As we compared those 4 architectures we found that VGG16 and Resnet model has better performance with an 85.35% accuracy rate compared to the other 3 architectures. In the future, we are sure that image recognition can be more developed to identify oral cancer earlier.
Keywords