PRTMTM: A Priori Regularization Method for Tooth-Marked Tongue Classification-Reference-Cited by-同舟云学术

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PRTMTM: A Priori Regularization Method for Tooth-Marked Tongue Classification

Published:2023-05-21 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Symposium on Circuits and Systems (ISCAS)
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Author:

Lu Jingqiao¹,Liu Mingxuan²,Chen Hong³

Affiliation:

1. Xin-Huangpu Joint Innovation Institute of Chinese Medicine,Health Testing Technique And Equipment Research Center,Guangzhou,China

2. Tsinghua University,Department of Biomedical Engineering,Beijing,China

3. School of Integrated Circuits, Tsinghua University,Beijing,China

Funder

National Natural Science Foundation of China

Tsinghua National Laboratory for Information Science and Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10181241/10181318/10181870.pdf?arnumber=10181870

Reference21 articles.

1. Artificial intelligence in tongue diagnosis: Using deep convolutional neural network for recognizing unhealthy tongue with tooth-mark

2. Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

3. Tooth-Marked Tongue Recognition Based on Mask Scoring R-CNN

4. An Automatic Recognition of Tooth- Marked Tongue Based on Tongue Region Detection and Tongue Landmark Detection via Deep Learning

5. See better before looking closer: Weakly supervised data augmentation network for fine-grained visual classification;hu;ArXiv Preprint,2019

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