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Automatic kidney segmentation using 2.5D ResUNet and 2.5D DenseUNet for malignant potential analysis in complex renal cyst based on CT images
Research article (EURASIP Journal on Image and Video Processing, 2022) · cited 38× · AI/ML
Automatic kidney segmentation using 2.5D ResUNet and 2.5D DenseUNet for malignant potential analysis in complex renal cyst based on CT images
Summary
Automatic kidney segmentation using 2.5D ResUNet and 2.5D DenseUNet for malignant potential analysis in complex renal cyst based on CT images is a scholarly article[1].
Key Facts
Automatic kidney segmentation using 2.5D ResUNet and 2.5D DenseUNet for malignant potential analysis in complex renal cyst based on CT 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). Automatic kidney segmentation using 2.5D ResUNet and 2.5D DenseUNet for malignant potential analysis in complex renal cyst based on CT images. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-kidney-segmentation-using-2-5d-resunet-and-2-5d-denseunet-for-malignant-potential-analysis-in-complex-renal-cy
MLA“Automatic kidney segmentation using 2.5D ResUNet and 2.5D DenseUNet for malignant potential analysis in complex renal cyst based on CT images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-kidney-segmentation-using-2-5d-resunet-and-2-5d-denseunet-for-malignant-potential-analysis-in-complex-renal-cy.
BibTeX@misc{4ortxyz_automatic-kidney-segmentation-using-2-5d-resunet-and-2-5d-denseunet-for-malignant-potential-analysis-in-complex-renal-cy_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic kidney segmentation using 2.5D ResUNet and 2.5D DenseUNet for malignant potential analysis in complex renal cyst based on CT images}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-kidney-segmentation-using-2-5d-resunet-and-2-5d-denseunet-for-malignant-potential-analysis-in-complex-renal-cy}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatic kidney segmentation using 2.5D ResUNet and 2.5D DenseUNet for malignant potential analysis in complex renal cyst based on CT images — https://4ort.xyz/entity/automatic-kidney-segmentation-using-2-5d-resunet-and-2-5d-denseunet-for-malignant-potential-analysis-in-complex-renal-cy (retrieved 2026-05-24)
