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- W2948478872 abstract "The morphological diagnosis of microvessels on the surface of superficial esophageal squamous cell carcinoma (SESCC) with magnifying endoscopy using narrowband imaging (NBI-ME) is widely used in clinical practice. In particular, the presence of abnormal microvessels without a loop-like formation is very important, because it represents that the tumor invades muscularis mucosae (MM) or deeper, which is associated with lymph node metastasis. We constructed a convolutional neural network (CNN) system which diagnosed microvessels of SESCCs, and we evaluated the diagnostic performance of the system." @default.
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- W2948478872 date "2019-06-01" @default.
- W2948478872 modified "2023-09-24" @default.
- W2948478872 title "Sa1256 ARTIFICIAL INTELLIGENCE USING CONVOLUTIONAL NEURAL NETWORK SHOWS HIGH DIAGNOSTIC PERFORMANCE OF MICROVESSELS ON SUPERFICIAL ESOPHAGEAL SQUAMOUS CELL CARCINOMA SIMILAR TO EXPERTS" @default.
- W2948478872 doi "https://doi.org/10.1016/j.gie.2019.03.146" @default.
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