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TransUMobileNet: Integrating multi-channel attention fusion with hybrid CNN-Transformer architecture for medical image segmentation
Research article (Biomedical Signal Processing and Control, 2025) · cited 10× · AI/ML
TransUMobileNet: Integrating multi-channel attention fusion with hybrid CNN-Transformer architecture for medical image segmentation
Summary
TransUMobileNet: Integrating multi-channel attention fusion with hybrid CNN-Transformer architecture for medical image segmentation is a scholarly article[1].
Key Facts
TransUMobileNet: Integrating multi-channel attention fusion with hybrid CNN-Transformer architecture for medical image segmentation's instance of is recorded as scholarly article[2].
References
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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.
APA4ort.xyz Knowledge Graph. (2026). TransUMobileNet: Integrating multi-channel attention fusion with hybrid CNN-Transformer architecture for medical image segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/transumobilenet-integrating-multi-channel-attention-fusion-with-hybrid-cnn-transformer-architecture-for-medical-image-se
MLA“TransUMobileNet: Integrating multi-channel attention fusion with hybrid CNN-Transformer architecture for medical image segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/transumobilenet-integrating-multi-channel-attention-fusion-with-hybrid-cnn-transformer-architecture-for-medical-image-se.
BibTeX@misc{4ortxyz_transumobilenet-integrating-multi-channel-attention-fusion-with-hybrid-cnn-transformer-architecture-for-medical-image-se_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{TransUMobileNet: Integrating multi-channel attention fusion with hybrid CNN-Transformer architecture for medical image segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/transumobilenet-integrating-multi-channel-attention-fusion-with-hybrid-cnn-transformer-architecture-for-medical-image-se}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): TransUMobileNet: Integrating multi-channel attention fusion with hybrid CNN-Transformer architecture for medical image segmentation — https://4ort.xyz/entity/transumobilenet-integrating-multi-channel-attention-fusion-with-hybrid-cnn-transformer-architecture-for-medical-image-se (retrieved 2026-05-24)
