Automated segmentation of the knee for age assessment in 3D MR images using convolutional neural networks

Research article (International Journal of Legal Medicine, 2018) · cited 26× · AI/ML
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Automated segmentation of the knee for age assessment in 3D MR images using convolutional neural networks

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Automated segmentation of the knee for age assessment in 3D MR images using convolutional neural networks is a scholarly article[1].

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  • Automated segmentation of the knee for age assessment in 3D MR images using convolutional neural networks's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Automated segmentation of the knee for age assessment in 3D MR images using convolutional neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/automated-segmentation-of-the-knee-for-age-assessment-in-3d-mr-images-using-convolutional-neural-networks
MLA “Automated segmentation of the knee for age assessment in 3D MR images using convolutional neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automated-segmentation-of-the-knee-for-age-assessment-in-3d-mr-images-using-convolutional-neural-networks.
BibTeX @misc{4ortxyz_automated-segmentation-of-the-knee-for-age-assessment-in-3d-mr-images-using-convolutional-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automated segmentation of the knee for age assessment in 3D MR images using convolutional neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/automated-segmentation-of-the-knee-for-age-assessment-in-3d-mr-images-using-convolutional-neural-networks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automated segmentation of the knee for age assessment in 3D MR images using convolutional neural networks — https://4ort.xyz/entity/automated-segmentation-of-the-knee-for-age-assessment-in-3d-mr-images-using-convolutional-neural-networks (retrieved 2026-05-24)

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