Construction and Multicenter Diagnostic Verification of Intelligent Recognition System for Endoscopic Images From Early Gastric Cancer Based on YOLO-V3 Algorithm

Overview of attention for article published in Frontiers in oncology, January 2022

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https://t.co/FJY5scLMIS 早期胃癌と良性病変の区別のEGC-YOLO診断システム。 YOLOv3の一般的なアーキテクチャを使用、バックボーンネットワークにDarkNet53を使用し、ネックに3層の空間ピラミッドを使用。テストセットの精度、感度、特異度、および陽性予測値は85.15％、85.36％、84.41％、95.22％。

15 Feb 2022

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Construction and Multicenter Diagnostic Verification of Intelligent Recognition System for Endoscopic Images From Early Gastric Cancer Based on YOLO-V3 Algorithm https://t.co/jMrIvPP9dE

12 Feb 2022

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Construction and Multicenter Diagnostic Verification of Intelligent Recognition System for Endoscopic Images From Early Gastric Cancer Based on YOLO-V3 Algorithm https://t.co/T1DzSPeayf

12 Feb 2022

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New research: Construction and Multicenter Diagnostic Verification of Intelligent Recognition System for Endoscopic Images From Early Gastric Cancer Based on YOLO-V3 Algorithm: Introduction Endoscopy is an important tool for the diagnosis of… https://t.co

25 Jan 2022

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