Deep neural networks with promising diagnostic accuracy for the classification of atypical femoral fractures

Research article (Acta Orthopaedica, 2021) · cited 19× · AI/ML
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Deep neural networks with promising diagnostic accuracy for the classification of atypical femoral fractures

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Deep neural networks with promising diagnostic accuracy for the classification of atypical femoral fractures is a scholarly article[1].

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  • Deep neural networks with promising diagnostic accuracy for the classification of atypical femoral fractures's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Deep neural networks with promising diagnostic accuracy for the classification of atypical femoral fractures. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-neural-networks-with-promising-diagnostic-accuracy-for-the-classification-of-atypical-femoral-fractures
MLA “Deep neural networks with promising diagnostic accuracy for the classification of atypical femoral fractures.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-neural-networks-with-promising-diagnostic-accuracy-for-the-classification-of-atypical-femoral-fractures.
BibTeX @misc{4ortxyz_deep-neural-networks-with-promising-diagnostic-accuracy-for-the-classification-of-atypical-femoral-fractures_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep neural networks with promising diagnostic accuracy for the classification of atypical femoral fractures}}, year = {2026}, url = {https://4ort.xyz/entity/deep-neural-networks-with-promising-diagnostic-accuracy-for-the-classification-of-atypical-femoral-fractures}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep neural networks with promising diagnostic accuracy for the classification of atypical femoral fractures — https://4ort.xyz/entity/deep-neural-networks-with-promising-diagnostic-accuracy-for-the-classification-of-atypical-femoral-fractures (retrieved 2026-05-24)

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