Weakly supervised multiple-instance active learning for tooth-marked tongue recognition [PDF]
Frontiers in PhysiologyIntroductionRecognizing a tooth-marked tongue has important clinical diagnostic value in traditional Chinese medicine. Current deep learning methods for tooth mark detection require extensive manual labeling and tongue segmentation, which is labor ...
Feilin Deng +3 more
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An Annotated Multi-Site and Multi-Contrast Magnetic Resonance Imaging Dataset for the study of the Human Tongue Musculature [PDF]
Scientific DataThis dataset provides the first annotated, openly available MRI-based imaging dataset for investigations of tongue musculature, including multi-contrast and multi-site MRI data from non-disease participants.
Fernanda L. Ribeiro +10 more
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Deep learning-based automated tongue analysis system for assisted Chinese medicine diagnosis [PDF]
Frontiers in PhysiologyThis study proposes an automated tongue analysis system that combines deep learning with traditional Chinese medicine to enhance the accuracy and objectivity of tongue diagnosis.
Tingnan Chen +5 more
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SSC-Net: A multi-task joint learning network for tongue image segmentation and multi-label classification [PDF]
Digital HealthBackground Traditional Chinese medicine (TCM) tongue diagnosis, through the comprehensive observation of tongue’s diverse characteristics, allows an understanding of the state of the body’s viscera as well as Qi and blood levels.
Xiaopeng Sha +5 more
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Tongue shape classification based on IF-RCNet [PDF]
Scientific ReportsThe classification of tongue shapes is essential for objective tongue diagnoses. However, the accuracy of classification is influenced by numerous factors. First, considerable differences exist between individuals with the same tongue shape.
Tiantian Liang +3 more
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Diagnosis of non-puerperal mastitis based on “whole tongue” features: non-invasive biomarker mining and diagnostic model construction [PDF]
Frontiers in Cellular and Infection MicrobiologyBackgroundNon-puerperal mastitis (NPM) arises from heterogeneous factors ranging from autoimmune dysregulation to occult infections. To establish a diagnosis, biopsy is reliable but invasive.
Siyuan Tu +4 more
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Tongue Contour Tracking and Segmentation in Lingual Ultrasound for Speech Recognition: A Review
Diagnostics, 2022 Lingual ultrasound imaging is essential in linguistic research and speech recognition. It has been used widely in different applications as visual feedback to enhance language learning for non-native speakers, study speech-related disorders and ...
Khalid Al-hammuri +3 more
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Research on Tongue Image Segmentation Algorithm Based on High Resolution Feature [PDF]
Jisuanji gongcheng, 2020 The accurate segmentation of tongue images is of great significance for tongue recognition and classification in tongue diagnosis.The traditional image processing and deep learning methods will lose part of the edge information of tongue images,thus ...
MA Longxiang, YANG Hao, SONG Tingting, ZHAI Pengbo, YU Kang
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An improved tongue image segmentation algorithm based on Deeplabv3+ framework
IET Image Processing, 2022 Tongue image segmentation is the key step of traditional Chinese medicine (TCM) intelligent tongue image analysis. The subsequent tongue image quality analysis is directly affected by the precision of segmentation.
Xinfeng Zhang +4 more
doaj +1 more source
Detection of Abnormal Changes on the Dorsal Tongue Surface Using Deep Learning
Medicina, 2023 Background and Objective: The tongue mucosa often changes due to various local and systemic diseases or conditions. This study aimed to investigate whether deep learning can help detect abnormal regions on the dorsal tongue surface in patients and ...
Ho-Jun Song +5 more
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