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Deep-learning image reconstruction for image quality evaluation and accurate bone mineral density measurement on quantitative CT: A phantom-patient study
Research article (Frontiers in Endocrinology, 2022) · cited 16× · AI/ML
Deep-learning image reconstruction for image quality evaluation and accurate bone mineral density measurement on quantitative CT: A phantom-patient study
Summary
Deep-learning image reconstruction for image quality evaluation and accurate bone mineral density measurement on quantitative CT: A phantom-patient study is a scholarly article[1].
Key Facts
Deep-learning image reconstruction for image quality evaluation and accurate bone mineral density measurement on quantitative CT: A phantom-patient study's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Deep-learning image reconstruction for image quality evaluation and accurate bone mineral density measurement on quantitative CT: A phantom-patient study. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-image-reconstruction-for-image-quality-evaluation-and-accurate-bone-mineral-density-measurement-on-quantit
MLA“Deep-learning image reconstruction for image quality evaluation and accurate bone mineral density measurement on quantitative CT: A phantom-patient study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-image-reconstruction-for-image-quality-evaluation-and-accurate-bone-mineral-density-measurement-on-quantit.
BibTeX@misc{4ortxyz_deep-learning-image-reconstruction-for-image-quality-evaluation-and-accurate-bone-mineral-density-measurement-on-quantit_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep-learning image reconstruction for image quality evaluation and accurate bone mineral density measurement on quantitative CT: A phantom-patient study}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-image-reconstruction-for-image-quality-evaluation-and-accurate-bone-mineral-density-measurement-on-quantit}, note = {Accessed: 2026-05-24}}
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