RAFF-Net: An improved tongue segmentation algorithm based on residual attention network and multiscale feature fusion [PDF]
Objective Due to the complexity of face images, tongue segmentation is susceptible to interference from uneven tongue texture, lips and face, resulting in traditional methods failing to segment the tongue accurately. To address this problem, RAFF-Net, an
Haibei Song +5 more
doaj +2 more sources
Tongue crack recognition using segmentation based deep learning
Tongue cracks refer to fissures with different depth and shapes on the tongue’s surface, which can characterize the pathological characteristics of spleen and stomach.
Jianjun Yan +7 more
doaj +3 more sources
Survey of Tongue Segmentation in Deep Learning
Tongue segmentation is an essential part of intelligent medicine diagnosis. The purpose is to generate an accurate contour of the tongue region by a precise mask.
LIU Huilin, FENG Yue, XU Hong, LUO Jianyi
doaj +2 more sources
An improved lightweight tongue segmentation model with self-attention parallel network and progressive upsampling [PDF]
Tongue diagnosis is a crucial component of the Four Diagnostic Methods in Traditional Chinese Medicine (TCM), which include observing, listening and smelling, inquiring, and palpation.
Xuan Wang +5 more
doaj +2 more sources
Advances in automated tongue diagnosis techniques [PDF]
Tongue diagnosis can be an effective, noninvasive method to perform an auxiliary diagnosis any time anywhere, which can support the global need in the primary healthcare system.
Marzia Hoque Tania +2 more
doaj +4 more sources
Patch-Driven Tongue Image Segmentation Using Sparse Representation [PDF]
Tongue diagnosis plays a key role in TCM (Traditional Chinese Medicine) diagnosis. Tongue image segmentation lays a solid foundation for quantitative tongue analysis and diagnosis.
Weixia Liu +3 more
doaj +2 more sources
GA-TongueNet: tongue image segmentation network using innovative DiFP and MDi for stable generalization ability [PDF]
Tongue is directly or indirectly connected to many internal organs in Traditional Chinese Medicine (TCM). In computer-aided diagnosis, tongue image segmentation is the first step in tongue diagnosis, and the precision of this segmentation is decisive in ...
Zhiyu Dong +6 more
doaj +2 more sources
Quantification of Tongue Motor Dysfunction in Amyotrophic Lateral Sclerosis Using a Smartphone-Based Task and Deep Learning [PDF]
Background: Bulbar dysfunction is a major complication of amyotrophic lateral sclerosis (ALS). This study aimed to develop and validate a simple, smartphone-based task for the objective assessment of tongue movements and to examine their association with
Pedro S. Rocha +4 more
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Tongue-LiteSAM: A Lightweight Model for Tongue Image Segmentation With Zero-Shot
Objective: Tongue image segmentation is a crucial step in the intelligent recognition of tongue diagnosis in Traditional Chinese Medicine (TCM). Existing deep learning-based tongue image segmentation models face issues such as poor versatility and ...
Daiqing Tan +9 more
doaj +2 more sources
AI-driven tongue image analysis for diagnosing and predicting coronary artery disease [PDF]
Coronary artery disease is a leading cause of mortality worldwide, with current diagnostic methods presenting challenges of invasiveness and accuracy. This study investigates artificial intelligence-powered tongue image analysis as a novel, non-invasive ...
Alireza Hekmat-Ardakani +10 more
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