Cracked Tongue Recognition Based on CNN with Transfer Learning

被引：1
|
作者：
Hong, Jinho [1 ]
Lee, Jongsung [1 ]
Tae, Hyunchul [1 ]
机构：
[1] Korea Inst Ind Technol, Cheonan, South Korea
来源：
2023 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN INFORMATION AND COMMUNICATION, ICAIIC | 2023年
关键词：
image segmentation; tongue image analysis; deep learning; transfer learning; VGG-16;
D O I：
10.1109/ICAIIC57133.2023.10067035
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Traditional Korean medicine can diagnose health condition through the tongue image using shapes and locations of cracks on the tongue. This paper proposes an algorithm that can classify tongue images according to shapes and locations of cracks. The proposed algorithm was developed using CNN with transfer learning and our computational result shows that the proposed algorithm can classify the tongue images effectively.
引用
收藏
页码：321 / 323
页数：3
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