한국정보처리학회:학술대회논문집 (Proceedings of the Korea Information Processing Society Conference)
- 한국정보처리학회 2022년도 춘계학술발표대회
- /
- Pages.309-311
- /
- 2022
- /
- 2005-0011(pISSN)
- /
- 2671-7298(eISSN)
DOI QR Code
구강암 조기발견을 위한 영상인식 시스템
Image Recognition System for Early Detection of Oral Cancer
- Cahyadi, Edward Dwijayanto ;
- Song, Mi-Hwa (School of Smart IT, Semyung University)
- 발행 : 2022.05.17
초록
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.
키워드