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Applying machine-learning models to differentiate benign and malignant thyroid nodules classified as C-TIRADS 4 based on 2D-ultrasound combined with five contrast-enhanced ultrasound key frames
Research article (Frontiers in Endocrinology, 2024) · cited 17× · AI/ML
Applying machine-learning models to differentiate benign and malignant thyroid nodules classified as C-TIRADS 4 based on 2D-ultrasound combined with five contrast-enhanced ultrasound key frames
Summary
Applying machine-learning models to differentiate benign and malignant thyroid nodules classified as C-TIRADS 4 based on 2D-ultrasound combined with five contrast-enhanced ultrasound key frames is a scholarly article[1].
Key Facts
Applying machine-learning models to differentiate benign and malignant thyroid nodules classified as C-TIRADS 4 based on 2D-ultrasound combined with five contrast-enhanced ultrasound key frames'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). Applying machine-learning models to differentiate benign and malignant thyroid nodules classified as C-TIRADS 4 based on 2D-ultrasound combined with five contrast-enhanced ultrasound key frames. Retrieved May 24, 2026, from https://4ort.xyz/entity/applying-machine-learning-models-to-differentiate-benign-and-malignant-thyroid-nodules-classified-as-c-tirads-4-based-on
MLA“Applying machine-learning models to differentiate benign and malignant thyroid nodules classified as C-TIRADS 4 based on 2D-ultrasound combined with five contrast-enhanced ultrasound key frames.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/applying-machine-learning-models-to-differentiate-benign-and-malignant-thyroid-nodules-classified-as-c-tirads-4-based-on.
BibTeX@misc{4ortxyz_applying-machine-learning-models-to-differentiate-benign-and-malignant-thyroid-nodules-classified-as-c-tirads-4-based-on_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Applying machine-learning models to differentiate benign and malignant thyroid nodules classified as C-TIRADS 4 based on 2D-ultrasound combined with five contrast-enhanced ultrasound key frames}}, year = {2026}, url = {https://4ort.xyz/entity/applying-machine-learning-models-to-differentiate-benign-and-malignant-thyroid-nodules-classified-as-c-tirads-4-based-on}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Applying machine-learning models to differentiate benign and malignant thyroid nodules classified as C-TIRADS 4 based on 2D-ultrasound combined with five contrast-enhanced ultrasound key frames — https://4ort.xyz/entity/applying-machine-learning-models-to-differentiate-benign-and-malignant-thyroid-nodules-classified-as-c-tirads-4-based-on (retrieved 2026-05-24)
