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The Accuracy and Radiomics Feature Effects of Multiple U-net-Based Automatic Segmentation Models for Transvaginal Ultrasound Images of Cervical Cancer
Research article (Journal of Digital Imaging, 2022) · cited 28× · AI/ML
The Accuracy and Radiomics Feature Effects of Multiple U-net-Based Automatic Segmentation Models for Transvaginal Ultrasound Images of Cervical Cancer
Summary
The Accuracy and Radiomics Feature Effects of Multiple U-net-Based Automatic Segmentation Models for Transvaginal Ultrasound Images of Cervical Cancer is a scholarly article[1].
Key Facts
The Accuracy and Radiomics Feature Effects of Multiple U-net-Based Automatic Segmentation Models for Transvaginal Ultrasound Images of Cervical Cancer'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). The Accuracy and Radiomics Feature Effects of Multiple U-net-Based Automatic Segmentation Models for Transvaginal Ultrasound Images of Cervical Cancer. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-accuracy-and-radiomics-feature-effects-of-multiple-u-net-based-automatic-segmentation-models-for-transvaginal-ultras
MLA“The Accuracy and Radiomics Feature Effects of Multiple U-net-Based Automatic Segmentation Models for Transvaginal Ultrasound Images of Cervical Cancer.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-accuracy-and-radiomics-feature-effects-of-multiple-u-net-based-automatic-segmentation-models-for-transvaginal-ultras.
BibTeX@misc{4ortxyz_the-accuracy-and-radiomics-feature-effects-of-multiple-u-net-based-automatic-segmentation-models-for-transvaginal-ultras_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The Accuracy and Radiomics Feature Effects of Multiple U-net-Based Automatic Segmentation Models for Transvaginal Ultrasound Images of Cervical Cancer}}, year = {2026}, url = {https://4ort.xyz/entity/the-accuracy-and-radiomics-feature-effects-of-multiple-u-net-based-automatic-segmentation-models-for-transvaginal-ultras}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): The Accuracy and Radiomics Feature Effects of Multiple U-net-Based Automatic Segmentation Models for Transvaginal Ultrasound Images of Cervical Cancer — https://4ort.xyz/entity/the-accuracy-and-radiomics-feature-effects-of-multiple-u-net-based-automatic-segmentation-models-for-transvaginal-ultras (retrieved 2026-05-24)
