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A comparison of Monte Carlo dropout and bootstrap aggregation on the performance and uncertainty estimation in radiation therapy dose prediction with deep learning neural networks
Research article (Physics in Medicine and Biology, 2021) · cited 51× · AI/ML
A comparison of Monte Carlo dropout and bootstrap aggregation on the performance and uncertainty estimation in radiation therapy dose prediction with deep learning neural networks
Summary
A comparison of Monte Carlo dropout and bootstrap aggregation on the performance and uncertainty estimation in radiation therapy dose prediction with deep learning neural networks is a scholarly article[1].
Key Facts
A comparison of Monte Carlo dropout and bootstrap aggregation on the performance and uncertainty estimation in radiation therapy dose prediction with deep learning neural networks's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A comparison of Monte Carlo dropout and bootstrap aggregation on the performance and uncertainty estimation in radiation therapy dose prediction with deep learning neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-comparison-of-monte-carlo-dropout-and-bootstrap-aggregation-on-the-performance-and-uncertainty-estimation-in-radiation
MLA“A comparison of Monte Carlo dropout and bootstrap aggregation on the performance and uncertainty estimation in radiation therapy dose prediction with deep learning neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-comparison-of-monte-carlo-dropout-and-bootstrap-aggregation-on-the-performance-and-uncertainty-estimation-in-radiation.
BibTeX@misc{4ortxyz_a-comparison-of-monte-carlo-dropout-and-bootstrap-aggregation-on-the-performance-and-uncertainty-estimation-in-radiation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A comparison of Monte Carlo dropout and bootstrap aggregation on the performance and uncertainty estimation in radiation therapy dose prediction with deep learning neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/a-comparison-of-monte-carlo-dropout-and-bootstrap-aggregation-on-the-performance-and-uncertainty-estimation-in-radiation}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A comparison of Monte Carlo dropout and bootstrap aggregation on the performance and uncertainty estimation in radiation therapy dose prediction with deep learning neural networks — https://4ort.xyz/entity/a-comparison-of-monte-carlo-dropout-and-bootstrap-aggregation-on-the-performance-and-uncertainty-estimation-in-radiation (retrieved 2026-05-24)
