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Towards an automated classification method for ureteroscopic kidney stone images using ensemble learning
Research article (2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020) · cited 34× · AI/ML
Towards an automated classification method for ureteroscopic kidney stone images using ensemble learning
Summary
Towards an automated classification method for ureteroscopic kidney stone images using ensemble learning is a scholarly article[1].
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Towards an automated classification method for ureteroscopic kidney stone images using ensemble learning's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Towards an automated classification method for ureteroscopic kidney stone images using ensemble learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/towards-an-automated-classification-method-for-ureteroscopic-kidney-stone-images-using-ensemble-learning
MLA“Towards an automated classification method for ureteroscopic kidney stone images using ensemble learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/towards-an-automated-classification-method-for-ureteroscopic-kidney-stone-images-using-ensemble-learning.
BibTeX@misc{4ortxyz_towards-an-automated-classification-method-for-ureteroscopic-kidney-stone-images-using-ensemble-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Towards an automated classification method for ureteroscopic kidney stone images using ensemble learning}}, year = {2026}, url = {https://4ort.xyz/entity/towards-an-automated-classification-method-for-ureteroscopic-kidney-stone-images-using-ensemble-learning}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Towards an automated classification method for ureteroscopic kidney stone images using ensemble learning — https://4ort.xyz/entity/towards-an-automated-classification-method-for-ureteroscopic-kidney-stone-images-using-ensemble-learning (retrieved 2026-05-24)
