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Ultrasound-based deep learning radiomics model for differentiating benign, borderline, and malignant ovarian tumours: a multi-class classification exploratory study
Research article (BMC Medical Imaging, 2024) · cited 24× · AI/ML
Ultrasound-based deep learning radiomics model for differentiating benign, borderline, and malignant ovarian tumours: a multi-class classification exploratory study
Summary
Ultrasound-based deep learning radiomics model for differentiating benign, borderline, and malignant ovarian tumours: a multi-class classification exploratory study is a scholarly article[1].
Key Facts
Ultrasound-based deep learning radiomics model for differentiating benign, borderline, and malignant ovarian tumours: a multi-class classification exploratory study's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Ultrasound-based deep learning radiomics model for differentiating benign, borderline, and malignant ovarian tumours: a multi-class classification exploratory study. Retrieved May 24, 2026, from https://4ort.xyz/entity/ultrasound-based-deep-learning-radiomics-model-for-differentiating-benign-borderline-and-malignant-ovarian-tumours-a-mul
MLA“Ultrasound-based deep learning radiomics model for differentiating benign, borderline, and malignant ovarian tumours: a multi-class classification exploratory study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ultrasound-based-deep-learning-radiomics-model-for-differentiating-benign-borderline-and-malignant-ovarian-tumours-a-mul.
BibTeX@misc{4ortxyz_ultrasound-based-deep-learning-radiomics-model-for-differentiating-benign-borderline-and-malignant-ovarian-tumours-a-mul_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Ultrasound-based deep learning radiomics model for differentiating benign, borderline, and malignant ovarian tumours: a multi-class classification exploratory study}}, year = {2026}, url = {https://4ort.xyz/entity/ultrasound-based-deep-learning-radiomics-model-for-differentiating-benign-borderline-and-malignant-ovarian-tumours-a-mul}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Ultrasound-based deep learning radiomics model for differentiating benign, borderline, and malignant ovarian tumours: a multi-class classification exploratory study — https://4ort.xyz/entity/ultrasound-based-deep-learning-radiomics-model-for-differentiating-benign-borderline-and-malignant-ovarian-tumours-a-mul (retrieved 2026-05-24)
