@inproceedings{14e02f66067b4b7c8b0042f694e09d2a,
title = "Moment Invariants with Data Augmentation for Tongue Image Segmentation",
abstract = "Tongue diagnosis plays an essential role in diagnosing the syndrome types, pathological types, lesion location and clinical stages of cancers in Traditional Chinese Medicine (TCM). The quality of the tongue image datasets is crucial to tongue image segmentation in modern tongue diagnosis. However, the tongue image dataset maintains a challenging problem because of the lack of datasets for the sublingual image, the complexity and scarcity of the tongue images. In this paper, we propose an effective segmentation framework for tongue images, called Moment Invariants with Data Augmentation (DAMI), which can be flexibly applied to different segmentation models. To overcome over-fitting caused by excessive data augmentation, a data augmentation module with random transformations is designed to achieve appropriate data augmentation. Meanwhile, we develop a new moment invariants module to optimize data augmentation in image segmentation. In addition, a novel tongue image dataset, Lingual-Sublingual Image Dataset (LSID), has been established for the classification and segmentation of tongue or sublingual veins. Experimental results confirm that the models using DAMI can remarkably outperform the existing methods on LID, SID and BioHit for the tongue image segmentation.",
keywords = "DAMI framwork, data augmentation, dataset, lingual image, moment invariants, segmentation, sublingual image, sublingual vein, tongue diagnosis, tongue image",
author = "Senlin Lin and Xuekun Song and Ziheng Xu and Xinyue Zhang and Yinqing Lin and Rui Zhang and Yulong Chen and Fa Zhang and Dehui Qiu and Yuling Zheng and Xiaohua Wan",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021 ; Conference date: 09-12-2021 Through 12-12-2021",
year = "2021",
doi = "10.1109/BIBM52615.2021.9669783",
language = "English",
series = "Proceedings - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "988--993",
editor = "Yufei Huang and Lukasz Kurgan and Feng Luo and Hu, {Xiaohua Tony} and Yidong Chen and Edward Dougherty and Andrzej Kloczkowski and Yaohang Li",
booktitle = "Proceedings - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021",
address = "United States",
}
