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TongueSAM: An Universal Tongue Segmentation Model Based on SAM with Zero-Shot

Research article (2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023) · cited 19× · AI/ML
academia openalex:W4390971074
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TongueSAM: An Universal Tongue Segmentation Model Based on SAM with Zero-Shot

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TongueSAM: An Universal Tongue Segmentation Model Based on SAM with Zero-Shot is a scholarly article[1].

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  • TongueSAM: An Universal Tongue Segmentation Model Based on SAM with Zero-Shot's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). TongueSAM: An Universal Tongue Segmentation Model Based on SAM with Zero-Shot. Retrieved May 24, 2026, from https://4ort.xyz/entity/tonguesam-an-universal-tongue-segmentation-model-based-on-sam-with-zero-shot
MLA “TongueSAM: An Universal Tongue Segmentation Model Based on SAM with Zero-Shot.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/tonguesam-an-universal-tongue-segmentation-model-based-on-sam-with-zero-shot.
BibTeX @misc{4ortxyz_tonguesam-an-universal-tongue-segmentation-model-based-on-sam-with-zero-shot_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{TongueSAM: An Universal Tongue Segmentation Model Based on SAM with Zero-Shot}}, year = {2026}, url = {https://4ort.xyz/entity/tonguesam-an-universal-tongue-segmentation-model-based-on-sam-with-zero-shot}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): TongueSAM: An Universal Tongue Segmentation Model Based on SAM with Zero-Shot — https://4ort.xyz/entity/tonguesam-an-universal-tongue-segmentation-model-based-on-sam-with-zero-shot (retrieved 2026-05-24)

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