A fully automatic artificial intelligence–based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis

Research article (European Radiology, 2021) · cited 70× · AI/ML
Press Enter · cited answer in seconds

A fully automatic artificial intelligence–based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis

Summary

A fully automatic artificial intelligence–based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis is a scholarly article[1].

Key Facts

  • A fully automatic artificial intelligence–based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis's instance of is recorded as scholarly article[2].

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). A fully automatic artificial intelligence–based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-fully-automatic-artificial-intelligencebased-ct-image-analysis-system-for-accurate-detection-diagnosis-and-quantitativ
MLA “A fully automatic artificial intelligence–based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-fully-automatic-artificial-intelligencebased-ct-image-analysis-system-for-accurate-detection-diagnosis-and-quantitativ.
BibTeX @misc{4ortxyz_a-fully-automatic-artificial-intelligencebased-ct-image-analysis-system-for-accurate-detection-diagnosis-and-quantitativ_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A fully automatic artificial intelligence–based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis}}, year = {2026}, url = {https://4ort.xyz/entity/a-fully-automatic-artificial-intelligencebased-ct-image-analysis-system-for-accurate-detection-diagnosis-and-quantitativ}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A fully automatic artificial intelligence–based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis — https://4ort.xyz/entity/a-fully-automatic-artificial-intelligencebased-ct-image-analysis-system-for-accurate-detection-diagnosis-and-quantitativ (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/a-fully-automatic-artificial-intelligencebased-ct-image-analysis-system-for-accurate-detection-diagnosis-and-quantitativ · Last refreshed: