CoT-UNet++: A medical image segmentation method based on contextual transformer and dense connection
Summary
CoT-UNet++: A medical image segmentation method based on contextual transformer and dense connection is a scholarly article[1].
Key Facts
CoT-UNet++: A medical image segmentation method based on contextual transformer and dense connection's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). CoT-UNet++: A medical image segmentation method based on contextual transformer and dense connection. Retrieved May 24, 2026, from https://4ort.xyz/entity/cot-unet-a-medical-image-segmentation-method-based-on-contextual-transformer-and-dense-connection
MLA“CoT-UNet++: A medical image segmentation method based on contextual transformer and dense connection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cot-unet-a-medical-image-segmentation-method-based-on-contextual-transformer-and-dense-connection.
BibTeX@misc{4ortxyz_cot-unet-a-medical-image-segmentation-method-based-on-contextual-transformer-and-dense-connection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CoT-UNet++: A medical image segmentation method based on contextual transformer and dense connection}}, year = {2026}, url = {https://4ort.xyz/entity/cot-unet-a-medical-image-segmentation-method-based-on-contextual-transformer-and-dense-connection}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CoT-UNet++: A medical image segmentation method based on contextual transformer and dense connection — https://4ort.xyz/entity/cot-unet-a-medical-image-segmentation-method-based-on-contextual-transformer-and-dense-connection (retrieved 2026-05-24)
