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Efficacy of a comprehensive binary classification model using a deep convolutional neural network for wireless capsule endoscopy
Research article (Scientific Reports, 2021) · cited 21× · AI/ML
Efficacy of a comprehensive binary classification model using a deep convolutional neural network for wireless capsule endoscopy
Summary
Efficacy of a comprehensive binary classification model using a deep convolutional neural network for wireless capsule endoscopy is a scholarly article[1].
Key Facts
Efficacy of a comprehensive binary classification model using a deep convolutional neural network for wireless capsule endoscopy's instance of is recorded as scholarly article[2].
References
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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.
APA4ort.xyz Knowledge Graph. (2026). Efficacy of a comprehensive binary classification model using a deep convolutional neural network for wireless capsule endoscopy. Retrieved May 24, 2026, from https://4ort.xyz/entity/efficacy-of-a-comprehensive-binary-classification-model-using-a-deep-convolutional-neural-network-for-wireless-capsule-e
MLA“Efficacy of a comprehensive binary classification model using a deep convolutional neural network for wireless capsule endoscopy.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/efficacy-of-a-comprehensive-binary-classification-model-using-a-deep-convolutional-neural-network-for-wireless-capsule-e.
BibTeX@misc{4ortxyz_efficacy-of-a-comprehensive-binary-classification-model-using-a-deep-convolutional-neural-network-for-wireless-capsule-e_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Efficacy of a comprehensive binary classification model using a deep convolutional neural network for wireless capsule endoscopy}}, year = {2026}, url = {https://4ort.xyz/entity/efficacy-of-a-comprehensive-binary-classification-model-using-a-deep-convolutional-neural-network-for-wireless-capsule-e}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Efficacy of a comprehensive binary classification model using a deep convolutional neural network for wireless capsule endoscopy — https://4ort.xyz/entity/efficacy-of-a-comprehensive-binary-classification-model-using-a-deep-convolutional-neural-network-for-wireless-capsule-e (retrieved 2026-05-24)
