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Lung Disease Classification in CXR Images Using Hybrid Inception-ResNet-v2 Model and Edge Computing

Research article (Journal of Healthcare Engineering, 2022) · cited 43× · AI/ML
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Lung Disease Classification in CXR Images Using Hybrid Inception-ResNet-v2 Model and Edge Computing

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Lung Disease Classification in CXR Images Using Hybrid Inception-ResNet-v2 Model and Edge Computing is a scholarly article[1].

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  • Lung Disease Classification in CXR Images Using Hybrid Inception-ResNet-v2 Model and Edge Computing's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Lung Disease Classification in CXR Images Using Hybrid Inception-ResNet-v2 Model and Edge Computing. Retrieved May 24, 2026, from https://4ort.xyz/entity/lung-disease-classification-in-cxr-images-using-hybrid-inception-resnet-v2-model-and-edge-computing
MLA “Lung Disease Classification in CXR Images Using Hybrid Inception-ResNet-v2 Model and Edge Computing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/lung-disease-classification-in-cxr-images-using-hybrid-inception-resnet-v2-model-and-edge-computing.
BibTeX @misc{4ortxyz_lung-disease-classification-in-cxr-images-using-hybrid-inception-resnet-v2-model-and-edge-computing_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Lung Disease Classification in CXR Images Using Hybrid Inception-ResNet-v2 Model and Edge Computing}}, year = {2026}, url = {https://4ort.xyz/entity/lung-disease-classification-in-cxr-images-using-hybrid-inception-resnet-v2-model-and-edge-computing}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Lung Disease Classification in CXR Images Using Hybrid Inception-ResNet-v2 Model and Edge Computing — https://4ort.xyz/entity/lung-disease-classification-in-cxr-images-using-hybrid-inception-resnet-v2-model-and-edge-computing (retrieved 2026-05-24)

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