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LCSCNet: A multi-level approach for lung cancer stage classification using 3D dense convolutional neural networks with concurrent squeeze-and-excitation module
Research article (Biomedical Signal Processing and Control, 2022) · cited 30× · AI/ML
LCSCNet: A multi-level approach for lung cancer stage classification using 3D dense convolutional neural networks with concurrent squeeze-and-excitation module
Summary
LCSCNet: A multi-level approach for lung cancer stage classification using 3D dense convolutional neural networks with concurrent squeeze-and-excitation module is a scholarly article[1].
Key Facts
LCSCNet: A multi-level approach for lung cancer stage classification using 3D dense convolutional neural networks with concurrent squeeze-and-excitation module's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). LCSCNet: A multi-level approach for lung cancer stage classification using 3D dense convolutional neural networks with concurrent squeeze-and-excitation module. Retrieved May 24, 2026, from https://4ort.xyz/entity/lcscnet-a-multi-level-approach-for-lung-cancer-stage-classification-using-3d-dense-convolutional-neural-networks-with-co
MLA“LCSCNet: A multi-level approach for lung cancer stage classification using 3D dense convolutional neural networks with concurrent squeeze-and-excitation module.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/lcscnet-a-multi-level-approach-for-lung-cancer-stage-classification-using-3d-dense-convolutional-neural-networks-with-co.
BibTeX@misc{4ortxyz_lcscnet-a-multi-level-approach-for-lung-cancer-stage-classification-using-3d-dense-convolutional-neural-networks-with-co_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{LCSCNet: A multi-level approach for lung cancer stage classification using 3D dense convolutional neural networks with concurrent squeeze-and-excitation module}}, year = {2026}, url = {https://4ort.xyz/entity/lcscnet-a-multi-level-approach-for-lung-cancer-stage-classification-using-3d-dense-convolutional-neural-networks-with-co}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): LCSCNet: A multi-level approach for lung cancer stage classification using 3D dense convolutional neural networks with concurrent squeeze-and-excitation module — https://4ort.xyz/entity/lcscnet-a-multi-level-approach-for-lung-cancer-stage-classification-using-3d-dense-convolutional-neural-networks-with-co (retrieved 2026-05-24)
