Analysis of tuberculosis severity levels from CT pulmonary images based on enhanced residual deep learning architecture

Research article (Neurocomputing, 2019) · cited 78× · AI/ML
Press Enter · cited answer in seconds

Analysis of tuberculosis severity levels from CT pulmonary images based on enhanced residual deep learning architecture

Summary

Analysis of tuberculosis severity levels from CT pulmonary images based on enhanced residual deep learning architecture is a scholarly article[1].

Key Facts

  • Analysis of tuberculosis severity levels from CT pulmonary images based on enhanced residual deep learning architecture'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). Analysis of tuberculosis severity levels from CT pulmonary images based on enhanced residual deep learning architecture. Retrieved May 24, 2026, from https://4ort.xyz/entity/analysis-of-tuberculosis-severity-levels-from-ct-pulmonary-images-based-on-enhanced-residual-deep-learning-architecture
MLA “Analysis of tuberculosis severity levels from CT pulmonary images based on enhanced residual deep learning architecture.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/analysis-of-tuberculosis-severity-levels-from-ct-pulmonary-images-based-on-enhanced-residual-deep-learning-architecture.
BibTeX @misc{4ortxyz_analysis-of-tuberculosis-severity-levels-from-ct-pulmonary-images-based-on-enhanced-residual-deep-learning-architecture_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Analysis of tuberculosis severity levels from CT pulmonary images based on enhanced residual deep learning architecture}}, year = {2026}, url = {https://4ort.xyz/entity/analysis-of-tuberculosis-severity-levels-from-ct-pulmonary-images-based-on-enhanced-residual-deep-learning-architecture}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Analysis of tuberculosis severity levels from CT pulmonary images based on enhanced residual deep learning architecture — https://4ort.xyz/entity/analysis-of-tuberculosis-severity-levels-from-ct-pulmonary-images-based-on-enhanced-residual-deep-learning-architecture (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/analysis-of-tuberculosis-severity-levels-from-ct-pulmonary-images-based-on-enhanced-residual-deep-learning-architecture · Last refreshed: