Development of an artificial intelligent model for pre-endoscopic screening of precancerous lesions in gastric cancer
Abstract Background Given the high cost of endoscopy in gastric cancer (GC) screening, there is an urgent need to explore cost-effective methods for the large-scale prediction of precancerous lesions of gastric cancer (PLGC). We aim to construct a hierarchical artificial intelligence-based multimoda...
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Main Authors: | , , , , , , , , |
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Format: | Book |
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BMC,
2024-06-01T00:00:00Z.
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Internet
Connect to this object online.3rd Floor Main Library
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A1234.567 |
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