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Deep learning architectures in dental diagnostics: a systematic comparison of techniques for accurate prediction of dental disease through x-ray imaging
Research article (International Journal of Intelligent Computing and Cybernetics, 2023) · cited 16× · AI/ML
Deep learning architectures in dental diagnostics: a systematic comparison of techniques for accurate prediction of dental disease through x-ray imaging
Summary
Deep learning architectures in dental diagnostics: a systematic comparison of techniques for accurate prediction of dental disease through x-ray imaging is a scholarly article[1].
Key Facts
Deep learning architectures in dental diagnostics: a systematic comparison of techniques for accurate prediction of dental disease through x-ray imaging's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Deep learning architectures in dental diagnostics: a systematic comparison of techniques for accurate prediction of dental disease through x-ray imaging. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-architectures-in-dental-diagnostics-a-systematic-comparison-of-techniques-for-accurate-prediction-of-denta
MLA“Deep learning architectures in dental diagnostics: a systematic comparison of techniques for accurate prediction of dental disease through x-ray imaging.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-architectures-in-dental-diagnostics-a-systematic-comparison-of-techniques-for-accurate-prediction-of-denta.
BibTeX@misc{4ortxyz_deep-learning-architectures-in-dental-diagnostics-a-systematic-comparison-of-techniques-for-accurate-prediction-of-denta_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning architectures in dental diagnostics: a systematic comparison of techniques for accurate prediction of dental disease through x-ray imaging}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-architectures-in-dental-diagnostics-a-systematic-comparison-of-techniques-for-accurate-prediction-of-denta}, note = {Accessed: 2026-05-24}}
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