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Prediction of Submucosal Invasion for Gastric Neoplasms in Endoscopic Images Using Deep-Learning
Endoscopic resection is recommended for gastric neoplasms confined to mucosa or superficial submucosa. The determination of invasion depth is based on gross morphology assessed in endoscopic images, or on endoscopic ultrasound. These methods have limited accuracy and pose an inter-observer variabili...
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| 出版年: | J Clin Med |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7356204/ https://ncbi.nlm.nih.gov/pubmed/32549190 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/jcm9061858 |
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