Home ›
Entities
› academia
› CTANet: Confidence-Based Threshold Adaption Network for Semi-Supervised Segmentation of Uterine Regions from MR Images for HIFU Treatment
CTANet: Confidence-Based Threshold Adaption Network for Semi-Supervised Segmentation of Uterine Regions from MR Images for HIFU Treatment
CTANet: Confidence-Based Threshold Adaption Network for Semi-Supervised Segmentation of Uterine Regions from MR Images for HIFU Treatment
Summary
CTANet: Confidence-Based Threshold Adaption Network for Semi-Supervised Segmentation of Uterine Regions from MR Images for HIFU Treatment is a scholarly article[1].
Key Facts
CTANet: Confidence-Based Threshold Adaption Network for Semi-Supervised Segmentation of Uterine Regions from MR Images for HIFU Treatment'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). CTANet: Confidence-Based Threshold Adaption Network for Semi-Supervised Segmentation of Uterine Regions from MR Images for HIFU Treatment. Retrieved May 24, 2026, from https://4ort.xyz/entity/ctanet-confidence-based-threshold-adaption-network-for-semi-supervised-segmentation-of-uterine-regions-from-mr-images-fo
MLA“CTANet: Confidence-Based Threshold Adaption Network for Semi-Supervised Segmentation of Uterine Regions from MR Images for HIFU Treatment.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ctanet-confidence-based-threshold-adaption-network-for-semi-supervised-segmentation-of-uterine-regions-from-mr-images-fo.
BibTeX@misc{4ortxyz_ctanet-confidence-based-threshold-adaption-network-for-semi-supervised-segmentation-of-uterine-regions-from-mr-images-fo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{CTANet: Confidence-Based Threshold Adaption Network for Semi-Supervised Segmentation of Uterine Regions from MR Images for HIFU Treatment}}, year = {2026}, url = {https://4ort.xyz/entity/ctanet-confidence-based-threshold-adaption-network-for-semi-supervised-segmentation-of-uterine-regions-from-mr-images-fo}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): CTANet: Confidence-Based Threshold Adaption Network for Semi-Supervised Segmentation of Uterine Regions from MR Images for HIFU Treatment — https://4ort.xyz/entity/ctanet-confidence-based-threshold-adaption-network-for-semi-supervised-segmentation-of-uterine-regions-from-mr-images-fo (retrieved 2026-05-24)
