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Solving the problem of missed terminology detection in OCR recognition of medical records

2025-08-19 172

针对医疗文本的特殊性,建议采用以下组合方案:

  • Model Selection:强制指定model=mineru参数,该模型内置医学术语库(含ICD-10编码)
  • preprocessing enhancement:对模糊的手写处方,先用PP-StructureV3进行图像增强,再提交识别
  • 术语修正:在API请求中添加specialty=medical头部字段,激活领域自适应算法
  • Dual Checksum Mechanism:同时运行MonkeyOCR快速版获取初结果,用Dolphin模型二次校验关键字段
  • 结果格式化:选择Markdown输出格式,系统会自动标注药品剂量、诊断结果等关键字段

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