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Deep learning model can improve the diagnosis rate of endoscopic chronic atrophic gastritis: a prospective cohort study
BACKGROUND AND AIMS: Chronic atrophic gastritis (CAG) is a precancerous form of gastric cancer. However, with pathological diagnosis as the gold standard, the sensitivity of endoscopic diagnosis of atrophy is only 42%. We developed a deep learning (DL)-based real-time video monitoring diagnostic mod...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8941797/ https://www.ncbi.nlm.nih.gov/pubmed/35321641 http://dx.doi.org/10.1186/s12876-022-02212-1 |