STA-Former: enhancing medical image segmentation with Shrinkage Triplet Attention in a hybrid CNN-Transformer model
Summary
STA-Former: enhancing medical image segmentation with Shrinkage Triplet Attention in a hybrid CNN-Transformer model is a scholarly article[1].
Key Facts
STA-Former: enhancing medical image segmentation with Shrinkage Triplet Attention in a hybrid CNN-Transformer model's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). STA-Former: enhancing medical image segmentation with Shrinkage Triplet Attention in a hybrid CNN-Transformer model. Retrieved May 24, 2026, from https://4ort.xyz/entity/sta-former-enhancing-medical-image-segmentation-with-shrinkage-triplet-attention-in-a-hybrid-cnn-transformer-model
MLA“STA-Former: enhancing medical image segmentation with Shrinkage Triplet Attention in a hybrid CNN-Transformer model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sta-former-enhancing-medical-image-segmentation-with-shrinkage-triplet-attention-in-a-hybrid-cnn-transformer-model.
BibTeX@misc{4ortxyz_sta-former-enhancing-medical-image-segmentation-with-shrinkage-triplet-attention-in-a-hybrid-cnn-transformer-model_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{STA-Former: enhancing medical image segmentation with Shrinkage Triplet Attention in a hybrid CNN-Transformer model}}, year = {2026}, url = {https://4ort.xyz/entity/sta-former-enhancing-medical-image-segmentation-with-shrinkage-triplet-attention-in-a-hybrid-cnn-transformer-model}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): STA-Former: enhancing medical image segmentation with Shrinkage Triplet Attention in a hybrid CNN-Transformer model — https://4ort.xyz/entity/sta-former-enhancing-medical-image-segmentation-with-shrinkage-triplet-attention-in-a-hybrid-cnn-transformer-model (retrieved 2026-05-24)
