D2A U-Net: Automatic segmentation of COVID-19 CT slices based on dual attention and hybrid dilated convolution

Research article (Computers in Biology and Medicine, 2021) · cited 82× · AI/ML
Press Enter · cited answer in seconds

D2A U-Net: Automatic segmentation of COVID-19 CT slices based on dual attention and hybrid dilated convolution

Summary

D2A U-Net: Automatic segmentation of COVID-19 CT slices based on dual attention and hybrid dilated convolution is a scholarly article[1].

Key Facts

  • D2A U-Net: Automatic segmentation of COVID-19 CT slices based on dual attention and hybrid dilated convolution'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). D2A U-Net: Automatic segmentation of COVID-19 CT slices based on dual attention and hybrid dilated convolution. Retrieved May 24, 2026, from https://4ort.xyz/entity/d2a-u-net-automatic-segmentation-of-covid-19-ct-slices-based-on-dual-attention-and-hybrid-dilated-convolution
MLA “D2A U-Net: Automatic segmentation of COVID-19 CT slices based on dual attention and hybrid dilated convolution.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/d2a-u-net-automatic-segmentation-of-covid-19-ct-slices-based-on-dual-attention-and-hybrid-dilated-convolution.
BibTeX @misc{4ortxyz_d2a-u-net-automatic-segmentation-of-covid-19-ct-slices-based-on-dual-attention-and-hybrid-dilated-convolution_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{D2A U-Net: Automatic segmentation of COVID-19 CT slices based on dual attention and hybrid dilated convolution}}, year = {2026}, url = {https://4ort.xyz/entity/d2a-u-net-automatic-segmentation-of-covid-19-ct-slices-based-on-dual-attention-and-hybrid-dilated-convolution}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): D2A U-Net: Automatic segmentation of COVID-19 CT slices based on dual attention and hybrid dilated convolution — https://4ort.xyz/entity/d2a-u-net-automatic-segmentation-of-covid-19-ct-slices-based-on-dual-attention-and-hybrid-dilated-convolution (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/d2a-u-net-automatic-segmentation-of-covid-19-ct-slices-based-on-dual-attention-and-hybrid-dilated-convolution · Last refreshed: