An Efficient Tongue Segmentation Method Using Synthetic Data Based on Fourier Transform and FASSP
Pages 61 - 65
Abstract
Tongue segmentation is a key step to realize the intelligent tongue diagnosis of traditional Chinese medicine. The segmentation based on deep neural networks has achieved good results with a large amount of data with pixel-level annotation. But it is difficult to obtain a large amount of pixel-level labeled real data. In this work, we propose a simple and effective tongue segmentation method using synthetic data with rich pixel-level annotations. Firstly, we adopt the Fourier transform and its inverse transform to reduce the distribution difference between the target and source domains. Then we construct fold atrous spatial pyramid pooling (FASPP) to get multi-scale information and enhance the correlation among local features for tongue data with different sizes. Finally, the experimental results show the effectiveness of our approach.
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- An Efficient Tongue Segmentation Method Using Synthetic Data Based on Fourier Transform and FASSP
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Published In
July 2023
140 pages
ISBN:9798400707698
DOI:10.1145/3613307
Copyright © 2023 ACM.
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Publication History
Published: 28 September 2023
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- Research-article
- Research
- Refereed limited
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- Guangdong Basic and Applied Basic Research Foundation
- National Natural Science Foundation of China
Conference
ICBIP 2023
ICBIP 2023: 2023 8th International Conference on Biomedical Signal and Image Processing
July 21 - 23, 2023
Chengdu, China
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