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Artificial Intelligence for Upper Gastrointestinal Endoscopy: A Roadmap from Technology Development to Clinical Practice.

Diagnostics (Basel) · 2022 · PMC9141387 · PMID 35626433

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a clear trendno p-value reported
However, it is possible to observe a clear trend testifying that the exploitation of time correlation models in multi-frame classification approaches leads to better classification performance also in the presence of a higher number of anatomical landmark classes when compared to single-frame approaches.

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