A two-stage approach for mobile-acquired tongue image with YOLOv5 and LA-UNet-Reference-Cited by-同舟云学术

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A two-stage approach for mobile-acquired tongue image with YOLOv5 and LA-UNet

Published:2024-05-24 Issue: Volume:57 Page:454-460
ISSN:
Container-title:2024 IEEE 4th International Conference on Electronic Technology, Communication and Information (ICETCI)
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Author:

Kang Gaofeng¹,Hao Yiming²,Wang Yiqin²,Cao Gangsheng¹,Ma Zhenjiu¹,Xia Chunming¹

Affiliation:

1. East China University of Science and Technology,School of Mechanical and Power Engineering,Shanghai,China

2. Shanghai University of Traditional Chinese Medicine,Shanghai Key Laboratory of Health Identification and Assessment,Shanghai,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10593799/10594004/10594709.pdf?arnumber=10594709

Reference22 articles.

1. Applications of Convolutional Neural Network in Biomedical Image [J];Yang;Computer Engineering and Applications,2021

2. Applications of deep learning in medical imaging: a survey [J];Shi;Journal of Image and Graphics,2020

3. Research on Tongue Image Segmentation Based on Mask R-CNN [J];Yan;World Science and Technology-Modernization of Traditional Chinese Medicine,2020

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