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Two-step artificial intelligence system for endoscopic gastric biopsy improves the diagnostic accuracy of pathologists
BACKGROUND: Endoscopic biopsy is the pivotal procedure for the diagnosis of gastric cancer. In this study, we applied whole-slide images (WSIs) of endoscopic gastric biopsy specimens to develop an endoscopic gastric biopsy assistant system (EGBAS). METHODS: The EGBAS was trained using 2373 WSIs expe...
Autores principales: | Zhu, Yan, Yuan, Wei, Xie, Chun-Mei, Xu, Wei, Wang, Jia-Ping, Feng, Li, Wu, Hui-Li, Lu, Pin-Xiang, Geng, Zi-Han, Lv, Chuan-Feng, Li, Quan-Lin, Hou, Ying-Yong, Chen, Wei-Feng, Zhou, Ping-Hong |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616078/ https://www.ncbi.nlm.nih.gov/pubmed/36313701 http://dx.doi.org/10.3389/fonc.2022.1008537 |
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