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CNN-based automatic segmentations and radiomics feature reliability on contrast-enhanced ultrasound images for renal tumors
Research article (Frontiers in Oncology, 2023) · cited 14× · AI/ML
CNN-based automatic segmentations and radiomics feature reliability on contrast-enhanced ultrasound images for renal tumors
Summary
CNN-based automatic segmentations and radiomics feature reliability on contrast-enhanced ultrasound images for renal tumors is a scholarly article[1].
Key Facts
CNN-based automatic segmentations and radiomics feature reliability on contrast-enhanced ultrasound images for renal tumors'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). CNN-based automatic segmentations and radiomics feature reliability on contrast-enhanced ultrasound images for renal tumors. Retrieved May 24, 2026, from https://4ort.xyz/entity/cnn-based-automatic-segmentations-and-radiomics-feature-reliability-on-contrast-enhanced-ultrasound-images-for-renal-tum
MLA“CNN-based automatic segmentations and radiomics feature reliability on contrast-enhanced ultrasound images for renal tumors.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cnn-based-automatic-segmentations-and-radiomics-feature-reliability-on-contrast-enhanced-ultrasound-images-for-renal-tum.
BibTeX@misc{4ortxyz_cnn-based-automatic-segmentations-and-radiomics-feature-reliability-on-contrast-enhanced-ultrasound-images-for-renal-tum_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CNN-based automatic segmentations and radiomics feature reliability on contrast-enhanced ultrasound images for renal tumors}}, year = {2026}, url = {https://4ort.xyz/entity/cnn-based-automatic-segmentations-and-radiomics-feature-reliability-on-contrast-enhanced-ultrasound-images-for-renal-tum}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CNN-based automatic segmentations and radiomics feature reliability on contrast-enhanced ultrasound images for renal tumors — https://4ort.xyz/entity/cnn-based-automatic-segmentations-and-radiomics-feature-reliability-on-contrast-enhanced-ultrasound-images-for-renal-tum (retrieved 2026-05-24)
