Improving tuberculosis severity assessment in computed tomography images using novel DAvoU-Net segmentation and deep learning framework

Research article (Expert Systems with Applications, 2022) · cited 23× · AI/ML
Press Enter · cited answer in seconds

Improving tuberculosis severity assessment in computed tomography images using novel DAvoU-Net segmentation and deep learning framework

Summary

Improving tuberculosis severity assessment in computed tomography images using novel DAvoU-Net segmentation and deep learning framework is a scholarly article[1].

Key Facts

  • Improving tuberculosis severity assessment in computed tomography images using novel DAvoU-Net segmentation and deep learning framework'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). Improving tuberculosis severity assessment in computed tomography images using novel DAvoU-Net segmentation and deep learning framework. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-tuberculosis-severity-assessment-in-computed-tomography-images-using-novel-davou-net-segmentation-and-deep-lea
MLA “Improving tuberculosis severity assessment in computed tomography images using novel DAvoU-Net segmentation and deep learning framework.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-tuberculosis-severity-assessment-in-computed-tomography-images-using-novel-davou-net-segmentation-and-deep-lea.
BibTeX @misc{4ortxyz_improving-tuberculosis-severity-assessment-in-computed-tomography-images-using-novel-davou-net-segmentation-and-deep-lea_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving tuberculosis severity assessment in computed tomography images using novel DAvoU-Net segmentation and deep learning framework}}, year = {2026}, url = {https://4ort.xyz/entity/improving-tuberculosis-severity-assessment-in-computed-tomography-images-using-novel-davou-net-segmentation-and-deep-lea}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving tuberculosis severity assessment in computed tomography images using novel DAvoU-Net segmentation and deep learning framework — https://4ort.xyz/entity/improving-tuberculosis-severity-assessment-in-computed-tomography-images-using-novel-davou-net-segmentation-and-deep-lea (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/improving-tuberculosis-severity-assessment-in-computed-tomography-images-using-novel-davou-net-segmentation-and-deep-lea · Last refreshed: