Home ›
Entities
› academia
› Tumor conspicuity enhancement-based segmentation model for liver tumor segmentation and RECIST diameter measurement in non-contrast CT images
Tumor conspicuity enhancement-based segmentation model for liver tumor segmentation and RECIST diameter measurement in non-contrast CT images
Research article (Computers in Biology and Medicine, 2024) · cited 10× · AI/ML
Tumor conspicuity enhancement-based segmentation model for liver tumor segmentation and RECIST diameter measurement in non-contrast CT images
Summary
Tumor conspicuity enhancement-based segmentation model for liver tumor segmentation and RECIST diameter measurement in non-contrast CT images is a scholarly article[1].
Key Facts
Tumor conspicuity enhancement-based segmentation model for liver tumor segmentation and RECIST diameter measurement in non-contrast CT images's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Tumor conspicuity enhancement-based segmentation model for liver tumor segmentation and RECIST diameter measurement in non-contrast CT images. Retrieved May 24, 2026, from https://4ort.xyz/entity/tumor-conspicuity-enhancement-based-segmentation-model-for-liver-tumor-segmentation-and-recist-diameter-measurement-in-n
MLA“Tumor conspicuity enhancement-based segmentation model for liver tumor segmentation and RECIST diameter measurement in non-contrast CT images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/tumor-conspicuity-enhancement-based-segmentation-model-for-liver-tumor-segmentation-and-recist-diameter-measurement-in-n.
BibTeX@misc{4ortxyz_tumor-conspicuity-enhancement-based-segmentation-model-for-liver-tumor-segmentation-and-recist-diameter-measurement-in-n_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Tumor conspicuity enhancement-based segmentation model for liver tumor segmentation and RECIST diameter measurement in non-contrast CT images}}, year = {2026}, url = {https://4ort.xyz/entity/tumor-conspicuity-enhancement-based-segmentation-model-for-liver-tumor-segmentation-and-recist-diameter-measurement-in-n}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Tumor conspicuity enhancement-based segmentation model for liver tumor segmentation and RECIST diameter measurement in non-contrast CT images — https://4ort.xyz/entity/tumor-conspicuity-enhancement-based-segmentation-model-for-liver-tumor-segmentation-and-recist-diameter-measurement-in-n (retrieved 2026-05-24)
