Automatic recognition of 3D GGO CT imaging signs through the fusion of hybrid resampling and layer-wise fine-tuning CNNs
Summary
Automatic recognition of 3D GGO CT imaging signs through the fusion of hybrid resampling and layer-wise fine-tuning CNNs is a scholarly article[1].
Key Facts
Automatic recognition of 3D GGO CT imaging signs through the fusion of hybrid resampling and layer-wise fine-tuning CNNs's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Automatic recognition of 3D GGO CT imaging signs through the fusion of hybrid resampling and layer-wise fine-tuning CNNs. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-recognition-of-3d-ggo-ct-imaging-signs-through-the-fusion-of-hybrid-resampling-and-layer-wise-fine-tuning-cnns
MLA“Automatic recognition of 3D GGO CT imaging signs through the fusion of hybrid resampling and layer-wise fine-tuning CNNs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-recognition-of-3d-ggo-ct-imaging-signs-through-the-fusion-of-hybrid-resampling-and-layer-wise-fine-tuning-cnns.
BibTeX@misc{4ortxyz_automatic-recognition-of-3d-ggo-ct-imaging-signs-through-the-fusion-of-hybrid-resampling-and-layer-wise-fine-tuning-cnns_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic recognition of 3D GGO CT imaging signs through the fusion of hybrid resampling and layer-wise fine-tuning CNNs}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-recognition-of-3d-ggo-ct-imaging-signs-through-the-fusion-of-hybrid-resampling-and-layer-wise-fine-tuning-cnns}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatic recognition of 3D GGO CT imaging signs through the fusion of hybrid resampling and layer-wise fine-tuning CNNs — https://4ort.xyz/entity/automatic-recognition-of-3d-ggo-ct-imaging-signs-through-the-fusion-of-hybrid-resampling-and-layer-wise-fine-tuning-cnns (retrieved 2026-05-24)
