Multiple abnormality classification in wireless capsule endoscopy images based on EfficientNet using attention mechanism
Summary
Multiple abnormality classification in wireless capsule endoscopy images based on EfficientNet using attention mechanism is a scholarly article[1].
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Multiple abnormality classification in wireless capsule endoscopy images based on EfficientNet using attention mechanism's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Multiple abnormality classification in wireless capsule endoscopy images based on EfficientNet using attention mechanism. Retrieved May 24, 2026, from https://4ort.xyz/entity/multiple-abnormality-classification-in-wireless-capsule-endoscopy-images-based-on-efficientnet-using-attention-mechanism
MLA“Multiple abnormality classification in wireless capsule endoscopy images based on EfficientNet using attention mechanism.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multiple-abnormality-classification-in-wireless-capsule-endoscopy-images-based-on-efficientnet-using-attention-mechanism.
BibTeX@misc{4ortxyz_multiple-abnormality-classification-in-wireless-capsule-endoscopy-images-based-on-efficientnet-using-attention-mechanism_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multiple abnormality classification in wireless capsule endoscopy images based on EfficientNet using attention mechanism}}, year = {2026}, url = {https://4ort.xyz/entity/multiple-abnormality-classification-in-wireless-capsule-endoscopy-images-based-on-efficientnet-using-attention-mechanism}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multiple abnormality classification in wireless capsule endoscopy images based on EfficientNet using attention mechanism — https://4ort.xyz/entity/multiple-abnormality-classification-in-wireless-capsule-endoscopy-images-based-on-efficientnet-using-attention-mechanism (retrieved 2026-05-24)
