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Machine learning models combining computed tomography semantic features and selected clinical variables for accurate prediction of the pathological grade of bladder cancer
Research article (Frontiers in Oncology, 2023) · cited 14× · AI/ML
Machine learning models combining computed tomography semantic features and selected clinical variables for accurate prediction of the pathological grade of bladder cancer
Summary
Machine learning models combining computed tomography semantic features and selected clinical variables for accurate prediction of the pathological grade of bladder cancer is a scholarly article[1].
Key Facts
Machine learning models combining computed tomography semantic features and selected clinical variables for accurate prediction of the pathological grade of bladder cancer's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Machine learning models combining computed tomography semantic features and selected clinical variables for accurate prediction of the pathological grade of bladder cancer. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-models-combining-computed-tomography-semantic-features-and-selected-clinical-variables-for-accurate-pre
MLA“Machine learning models combining computed tomography semantic features and selected clinical variables for accurate prediction of the pathological grade of bladder cancer.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-models-combining-computed-tomography-semantic-features-and-selected-clinical-variables-for-accurate-pre.
BibTeX@misc{4ortxyz_machine-learning-models-combining-computed-tomography-semantic-features-and-selected-clinical-variables-for-accurate-pre_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning models combining computed tomography semantic features and selected clinical variables for accurate prediction of the pathological grade of bladder cancer}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-models-combining-computed-tomography-semantic-features-and-selected-clinical-variables-for-accurate-pre}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning models combining computed tomography semantic features and selected clinical variables for accurate prediction of the pathological grade of bladder cancer — https://4ort.xyz/entity/machine-learning-models-combining-computed-tomography-semantic-features-and-selected-clinical-variables-for-accurate-pre (retrieved 2026-05-24)
