Lw-TISNet: Light-Weight Convolutional Neural Network Incorporating Attention Mechanism and Multiple Supervision Strategy for Tongue Image Segmentation-Reference-Cited by-同舟云学术

Lw-TISNet: Light-Weight Convolutional Neural Network Incorporating Attention Mechanism and Multiple Supervision Strategy for Tongue Image Segmentation

Published:2022-01-08 Issue:1 Volume:23 Page:
ISSN:1557-2064
Container-title:Sensing and Imaging
language:en
Short-container-title:Sens Imaging

Author:

Huang Xiaodong,Zhuo Li^ORCID,Zhang Hui,Li Xiaoguang,Zhang Jing

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Instrumentation

Link

https://link.springer.com/content/pdf/10.1007/s11220-021-00375-x.pdf

Reference40 articles.

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2. Tania, M. H., Lwin, K., & Hossain, M. A. (2018). Advances in automated tongue diagnosis techniques. Integrative Medicine Research, 8(1), 42–56.

3. Chiu, C. C. (2000). A novel approach based on computerized image analysis for traditional Chinese medical diagnosis of the tongue. Computer Methods and Programs in Biomedicine, 61(2), 77–89.

4. Oji, T., Namiki, T., Nakaguchi, T., Ueda, K., Takeda, K., Nakamura, M., Okamoto, H., & Hirasaki, Y. (2014). Study of factors involved in tongue color diagnosis by kampo medical practitioners using the farnsworth-munsell 100 hue test and tongue color images. Evid Based Complement Alternat Med, 2014(3), 1–9.

5. Wang, Y., Zhou, Y., Yang, J., & Xu, Q. (2004). An image analysis system for tongue diagnosis in traditional Chinese medicine. In: Computational and Information Science, First International Symposium, {CIS} 2004, Shanghai, China, December 16–18, 2004. pp. 1181–1186.

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