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Development of an interpretable machine learning model for Ki-67 prediction in breast cancer using intratumoral and peritumoral ultrasound radiomics features
Research article (Frontiers in Oncology, 2023) · cited 12× · AI/ML
Development of an interpretable machine learning model for Ki-67 prediction in breast cancer using intratumoral and peritumoral ultrasound radiomics features
Summary
Development of an interpretable machine learning model for Ki-67 prediction in breast cancer using intratumoral and peritumoral ultrasound radiomics features is a scholarly article[1].
Key Facts
Development of an interpretable machine learning model for Ki-67 prediction in breast cancer using intratumoral and peritumoral ultrasound radiomics features's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Development of an interpretable machine learning model for Ki-67 prediction in breast cancer using intratumoral and peritumoral ultrasound radiomics features. Retrieved May 24, 2026, from https://4ort.xyz/entity/development-of-an-interpretable-machine-learning-model-for-ki-67-prediction-in-breast-cancer-using-intratumoral-and-peri
MLA“Development of an interpretable machine learning model for Ki-67 prediction in breast cancer using intratumoral and peritumoral ultrasound radiomics features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/development-of-an-interpretable-machine-learning-model-for-ki-67-prediction-in-breast-cancer-using-intratumoral-and-peri.
BibTeX@misc{4ortxyz_development-of-an-interpretable-machine-learning-model-for-ki-67-prediction-in-breast-cancer-using-intratumoral-and-peri_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Development of an interpretable machine learning model for Ki-67 prediction in breast cancer using intratumoral and peritumoral ultrasound radiomics features}}, year = {2026}, url = {https://4ort.xyz/entity/development-of-an-interpretable-machine-learning-model-for-ki-67-prediction-in-breast-cancer-using-intratumoral-and-peri}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Development of an interpretable machine learning model for Ki-67 prediction in breast cancer using intratumoral and peritumoral ultrasound radiomics features — https://4ort.xyz/entity/development-of-an-interpretable-machine-learning-model-for-ki-67-prediction-in-breast-cancer-using-intratumoral-and-peri (retrieved 2026-05-24)
