HFRU-Net: High-Level Feature Fusion and Recalibration UNet for Automatic Liver and Tumor Segmentation in CT Images
Summary
HFRU-Net: High-Level Feature Fusion and Recalibration UNet for Automatic Liver and Tumor Segmentation in CT Images is a scholarly article[1].
Key Facts
HFRU-Net: High-Level Feature Fusion and Recalibration UNet 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). HFRU-Net: High-Level Feature Fusion and Recalibration UNet for Automatic Liver and Tumor Segmentation in CT Images. Retrieved May 24, 2026, from https://4ort.xyz/entity/hfru-net-high-level-feature-fusion-and-recalibration-unet-for-automatic-liver-and-tumor-segmentation-in-ct-images
MLA“HFRU-Net: High-Level Feature Fusion and Recalibration UNet for Automatic Liver and Tumor Segmentation in CT Images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hfru-net-high-level-feature-fusion-and-recalibration-unet-for-automatic-liver-and-tumor-segmentation-in-ct-images.
BibTeX@misc{4ortxyz_hfru-net-high-level-feature-fusion-and-recalibration-unet-for-automatic-liver-and-tumor-segmentation-in-ct-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{HFRU-Net: High-Level Feature Fusion and Recalibration UNet for Automatic Liver and Tumor Segmentation in CT Images}}, year = {2026}, url = {https://4ort.xyz/entity/hfru-net-high-level-feature-fusion-and-recalibration-unet-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): HFRU-Net: High-Level Feature Fusion and Recalibration UNet for Automatic Liver and Tumor Segmentation in CT Images — https://4ort.xyz/entity/hfru-net-high-level-feature-fusion-and-recalibration-unet-for-automatic-liver-and-tumor-segmentation-in-ct-images (retrieved 2026-05-24)
