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Preliminary study on discriminating HER2 2+ amplification status of breast cancers based on texture features semi-automatically derived from pre-, post-contrast, and subtraction images of DCE-MRI
Research article (PLoS ONE, 2020) · cited 14× · AI/ML
Preliminary study on discriminating HER2 2+ amplification status of breast cancers based on texture features semi-automatically derived from pre-, post-contrast, and subtraction images of DCE-MRI
Summary
Preliminary study on discriminating HER2 2+ amplification status of breast cancers based on texture features semi-automatically derived from pre-, post-contrast, and subtraction images of DCE-MRI is a scholarly article[1].
Key Facts
Preliminary study on discriminating HER2 2+ amplification status of breast cancers based on texture features semi-automatically derived from pre-, post-contrast, and subtraction images of DCE-MRI's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Preliminary study on discriminating HER2 2+ amplification status of breast cancers based on texture features semi-automatically derived from pre-, post-contrast, and subtraction images of DCE-MRI. Retrieved May 24, 2026, from https://4ort.xyz/entity/preliminary-study-on-discriminating-her2-2-amplification-status-of-breast-cancers-based-on-texture-features-semi-automat
MLA“Preliminary study on discriminating HER2 2+ amplification status of breast cancers based on texture features semi-automatically derived from pre-, post-contrast, and subtraction images of DCE-MRI.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/preliminary-study-on-discriminating-her2-2-amplification-status-of-breast-cancers-based-on-texture-features-semi-automat.
BibTeX@misc{4ortxyz_preliminary-study-on-discriminating-her2-2-amplification-status-of-breast-cancers-based-on-texture-features-semi-automat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Preliminary study on discriminating HER2 2+ amplification status of breast cancers based on texture features semi-automatically derived from pre-, post-contrast, and subtraction images of DCE-MRI}}, year = {2026}, url = {https://4ort.xyz/entity/preliminary-study-on-discriminating-her2-2-amplification-status-of-breast-cancers-based-on-texture-features-semi-automat}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Preliminary study on discriminating HER2 2+ amplification status of breast cancers based on texture features semi-automatically derived from pre-, post-contrast, and subtraction images of DCE-MRI — https://4ort.xyz/entity/preliminary-study-on-discriminating-her2-2-amplification-status-of-breast-cancers-based-on-texture-features-semi-automat (retrieved 2026-05-24)
