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SCUNet++: Swin-UNet and CNN Bottleneck Hybrid Architecture with Multi-Fusion Dense Skip Connection for Pulmonary Embolism CT Image Segmentation*
Research article (2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024) · cited 51× · AI/ML
SCUNet++: Swin-UNet and CNN Bottleneck Hybrid Architecture with Multi-Fusion Dense Skip Connection for Pulmonary Embolism CT Image Segmentation*
Summary
SCUNet++: Swin-UNet and CNN Bottleneck Hybrid Architecture with Multi-Fusion Dense Skip Connection for Pulmonary Embolism CT Image Segmentation* is a scholarly article[1].
Key Facts
SCUNet++: Swin-UNet and CNN Bottleneck Hybrid Architecture with Multi-Fusion Dense Skip Connection for Pulmonary Embolism CT Image Segmentation*'s instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). SCUNet++: Swin-UNet and CNN Bottleneck Hybrid Architecture with Multi-Fusion Dense Skip Connection for Pulmonary Embolism CT Image Segmentation*. Retrieved May 24, 2026, from https://4ort.xyz/entity/scunet-swin-unet-and-cnn-bottleneck-hybrid-architecture-with-multi-fusion-dense-skip-connection-for-pulmonary-embolism-c
MLA“SCUNet++: Swin-UNet and CNN Bottleneck Hybrid Architecture with Multi-Fusion Dense Skip Connection for Pulmonary Embolism CT Image Segmentation*.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/scunet-swin-unet-and-cnn-bottleneck-hybrid-architecture-with-multi-fusion-dense-skip-connection-for-pulmonary-embolism-c.
BibTeX@misc{4ortxyz_scunet-swin-unet-and-cnn-bottleneck-hybrid-architecture-with-multi-fusion-dense-skip-connection-for-pulmonary-embolism-c_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SCUNet++: Swin-UNet and CNN Bottleneck Hybrid Architecture with Multi-Fusion Dense Skip Connection for Pulmonary Embolism CT Image Segmentation*}}, year = {2026}, url = {https://4ort.xyz/entity/scunet-swin-unet-and-cnn-bottleneck-hybrid-architecture-with-multi-fusion-dense-skip-connection-for-pulmonary-embolism-c}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SCUNet++: Swin-UNet and CNN Bottleneck Hybrid Architecture with Multi-Fusion Dense Skip Connection for Pulmonary Embolism CT Image Segmentation* — https://4ort.xyz/entity/scunet-swin-unet-and-cnn-bottleneck-hybrid-architecture-with-multi-fusion-dense-skip-connection-for-pulmonary-embolism-c (retrieved 2026-05-24)
