Home ›
Entities
› academia
› Performance of the deep convolutional neural network based magnetic resonance image scoring algorithm for differentiating between tuberculous and pyogenic spondylitis
Performance of the deep convolutional neural network based magnetic resonance image scoring algorithm for differentiating between tuberculous and pyogenic spondylitis
Research article (Scientific Reports, 2018) · cited 63× · AI/ML
Performance of the deep convolutional neural network based magnetic resonance image scoring algorithm for differentiating between tuberculous and pyogenic spondylitis
Summary
Performance of the deep convolutional neural network based magnetic resonance image scoring algorithm for differentiating between tuberculous and pyogenic spondylitis is a scholarly article[1].
Key Facts
Performance of the deep convolutional neural network based magnetic resonance image scoring algorithm for differentiating between tuberculous and pyogenic spondylitis's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Performance of the deep convolutional neural network based magnetic resonance image scoring algorithm for differentiating between tuberculous and pyogenic spondylitis. Retrieved May 24, 2026, from https://4ort.xyz/entity/performance-of-the-deep-convolutional-neural-network-based-magnetic-resonance-image-scoring-algorithm-for-differentiatin
MLA“Performance of the deep convolutional neural network based magnetic resonance image scoring algorithm for differentiating between tuberculous and pyogenic spondylitis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/performance-of-the-deep-convolutional-neural-network-based-magnetic-resonance-image-scoring-algorithm-for-differentiatin.
BibTeX@misc{4ortxyz_performance-of-the-deep-convolutional-neural-network-based-magnetic-resonance-image-scoring-algorithm-for-differentiatin_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Performance of the deep convolutional neural network based magnetic resonance image scoring algorithm for differentiating between tuberculous and pyogenic spondylitis}}, year = {2026}, url = {https://4ort.xyz/entity/performance-of-the-deep-convolutional-neural-network-based-magnetic-resonance-image-scoring-algorithm-for-differentiatin}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Performance of the deep convolutional neural network based magnetic resonance image scoring algorithm for differentiating between tuberculous and pyogenic spondylitis — https://4ort.xyz/entity/performance-of-the-deep-convolutional-neural-network-based-magnetic-resonance-image-scoring-algorithm-for-differentiatin (retrieved 2026-05-24)
