Tongue image quality assessment based on a deep convolutional neural network.

Tao JiangXiao-Juan HuXing-Hua YaoLi-Ping TuJing-Bin HuangXu-Xiang MaJi CuiQing-Feng WuJia-Tuo Xu

Published in: BMC medical informatics and decision making (2021)

Our research findings demonstrate various CNN models in the decision-making process for the selection of tongue image quality assessment and indicate that applying deep learning methods, specifically deep CNNs, to evaluate poor-quality tongue images is feasible.

Keyphrases

convolutional neural network
deep learning
image quality
decision making
artificial intelligence
machine learning
computed tomography
magnetic resonance imaging
dual energy