SUNet++: A Deep Network with Channel Attention for Small-Scale Object Segmentation on 3D Medical Images
Summary
SUNet++: A Deep Network with Channel Attention for Small-Scale Object Segmentation on 3D Medical Images is a scholarly article[1].
Key Facts
SUNet++: A Deep Network with Channel Attention for Small-Scale Object Segmentation on 3D Medical Images'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). SUNet++: A Deep Network with Channel Attention for Small-Scale Object Segmentation on 3D Medical Images. Retrieved May 24, 2026, from https://4ort.xyz/entity/sunet-a-deep-network-with-channel-attention-for-small-scale-object-segmentation-on-3d-medical-images
MLA“SUNet++: A Deep Network with Channel Attention for Small-Scale Object Segmentation on 3D Medical Images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sunet-a-deep-network-with-channel-attention-for-small-scale-object-segmentation-on-3d-medical-images.
BibTeX@misc{4ortxyz_sunet-a-deep-network-with-channel-attention-for-small-scale-object-segmentation-on-3d-medical-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SUNet++: A Deep Network with Channel Attention for Small-Scale Object Segmentation on 3D Medical Images}}, year = {2026}, url = {https://4ort.xyz/entity/sunet-a-deep-network-with-channel-attention-for-small-scale-object-segmentation-on-3d-medical-images}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SUNet++: A Deep Network with Channel Attention for Small-Scale Object Segmentation on 3D Medical Images — https://4ort.xyz/entity/sunet-a-deep-network-with-channel-attention-for-small-scale-object-segmentation-on-3d-medical-images (retrieved 2026-05-24)
