MS-UNet: A multi-scale UNet with feature recalibration approach for automatic liver and tumor segmentation in CT images
Summary
MS-UNet: A multi-scale UNet with feature recalibration approach for automatic liver and tumor segmentation in CT images is a scholarly article[1].
Key Facts
MS-UNet: A multi-scale UNet with feature recalibration approach for automatic liver and tumor segmentation in CT images's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). MS-UNet: A multi-scale UNet with feature recalibration approach for automatic liver and tumor segmentation in CT images. Retrieved May 24, 2026, from https://4ort.xyz/entity/ms-unet-a-multi-scale-unet-with-feature-recalibration-approach-for-automatic-liver-and-tumor-segmentation-in-ct-images
MLA“MS-UNet: A multi-scale UNet with feature recalibration approach for automatic liver and tumor segmentation in CT images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ms-unet-a-multi-scale-unet-with-feature-recalibration-approach-for-automatic-liver-and-tumor-segmentation-in-ct-images.
BibTeX@misc{4ortxyz_ms-unet-a-multi-scale-unet-with-feature-recalibration-approach-for-automatic-liver-and-tumor-segmentation-in-ct-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MS-UNet: A multi-scale UNet with feature recalibration approach for automatic liver and tumor segmentation in CT images}}, year = {2026}, url = {https://4ort.xyz/entity/ms-unet-a-multi-scale-unet-with-feature-recalibration-approach-for-automatic-liver-and-tumor-segmentation-in-ct-images}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MS-UNet: A multi-scale UNet with feature recalibration approach for automatic liver and tumor segmentation in CT images — https://4ort.xyz/entity/ms-unet-a-multi-scale-unet-with-feature-recalibration-approach-for-automatic-liver-and-tumor-segmentation-in-ct-images (retrieved 2026-05-24)
