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A clinically interpretable convolutional neural network for the real-time prediction of early squamous cell cancer of the esophagus: comparing diagnostic performance with a panel of expert European and Asian endoscopists

Research article (Gastrointestinal Endoscopy, 2021) · cited 23× · AI/ML
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A clinically interpretable convolutional neural network for the real-time prediction of early squamous cell cancer of the esophagus: comparing diagnostic performance with a panel of expert European and Asian endoscopists

Summary

A clinically interpretable convolutional neural network for the real-time prediction of early squamous cell cancer of the esophagus: comparing diagnostic performance with a panel of expert European and Asian endoscopists is a scholarly article[1].

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  • A clinically interpretable convolutional neural network for the real-time prediction of early squamous cell cancer of the esophagus: comparing diagnostic performance with a panel of expert European and Asian endoscopists'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). A clinically interpretable convolutional neural network for the real-time prediction of early squamous cell cancer of the esophagus: comparing diagnostic performance with a panel of expert European and Asian endoscopists. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-clinically-interpretable-convolutional-neural-network-for-the-real-time-prediction-of-early-squamous-cell-cancer-of-th
MLA “A clinically interpretable convolutional neural network for the real-time prediction of early squamous cell cancer of the esophagus: comparing diagnostic performance with a panel of expert European and Asian endoscopists.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-clinically-interpretable-convolutional-neural-network-for-the-real-time-prediction-of-early-squamous-cell-cancer-of-th.
BibTeX @misc{4ortxyz_a-clinically-interpretable-convolutional-neural-network-for-the-real-time-prediction-of-early-squamous-cell-cancer-of-th_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A clinically interpretable convolutional neural network for the real-time prediction of early squamous cell cancer of the esophagus: comparing diagnostic performance with a panel of expert European and Asian endoscopists}}, year = {2026}, url = {https://4ort.xyz/entity/a-clinically-interpretable-convolutional-neural-network-for-the-real-time-prediction-of-early-squamous-cell-cancer-of-th}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A clinically interpretable convolutional neural network for the real-time prediction of early squamous cell cancer of the esophagus: comparing diagnostic performance with a panel of expert European and Asian endoscopists — https://4ort.xyz/entity/a-clinically-interpretable-convolutional-neural-network-for-the-real-time-prediction-of-early-squamous-cell-cancer-of-th (retrieved 2026-05-24)

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