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Discriminating malignant from benign testicular masses using machine-learning based radiomics signature of appearance diffusion coefficient maps: Comparing with conventional mean and minimum ADC values
Research article (European Journal of Radiology, 2022) · cited 19× · AI/ML
Discriminating malignant from benign testicular masses using machine-learning based radiomics signature of appearance diffusion coefficient maps: Comparing with conventional mean and minimum ADC values
Summary
Discriminating malignant from benign testicular masses using machine-learning based radiomics signature of appearance diffusion coefficient maps: Comparing with conventional mean and minimum ADC values is a scholarly article[1].
Key Facts
Discriminating malignant from benign testicular masses using machine-learning based radiomics signature of appearance diffusion coefficient maps: Comparing with conventional mean and minimum ADC values's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Discriminating malignant from benign testicular masses using machine-learning based radiomics signature of appearance diffusion coefficient maps: Comparing with conventional mean and minimum ADC values. Retrieved May 24, 2026, from https://4ort.xyz/entity/discriminating-malignant-from-benign-testicular-masses-using-machine-learning-based-radiomics-signature-of-appearance-di
MLA“Discriminating malignant from benign testicular masses using machine-learning based radiomics signature of appearance diffusion coefficient maps: Comparing with conventional mean and minimum ADC values.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/discriminating-malignant-from-benign-testicular-masses-using-machine-learning-based-radiomics-signature-of-appearance-di.
BibTeX@misc{4ortxyz_discriminating-malignant-from-benign-testicular-masses-using-machine-learning-based-radiomics-signature-of-appearance-di_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Discriminating malignant from benign testicular masses using machine-learning based radiomics signature of appearance diffusion coefficient maps: Comparing with conventional mean and minimum ADC values}}, year = {2026}, url = {https://4ort.xyz/entity/discriminating-malignant-from-benign-testicular-masses-using-machine-learning-based-radiomics-signature-of-appearance-di}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Discriminating malignant from benign testicular masses using machine-learning based radiomics signature of appearance diffusion coefficient maps: Comparing with conventional mean and minimum ADC values — https://4ort.xyz/entity/discriminating-malignant-from-benign-testicular-masses-using-machine-learning-based-radiomics-signature-of-appearance-di (retrieved 2026-05-24)
