most citedAmmonia-Net: A Multi-task Joint Learning Model for Multi-class Segmentation and Classification in Tooth-marked Tongue Diagnosis

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CV2023★ 2 cited

Ammonia-Net: A Multi-task Joint Learning Model for Multi-class Segmentation and Classification in Tooth-marked Tongue Diagnosis

Shunkai Shi, Yuqi Wang, Qihui Ye +5

In Traditional Chinese Medicine, the tooth marks on the tongue, stemming from prolonged dental pressure, serve as a crucial indicator for assessing qi (yang) deficiency, which is i…