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基于机器学习的病理学的临床应用 胃缩的签名

Yadi Lan1, Bing Han1, Tianyu Zhai1

  • 1Department of Gastroenterology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.

Frontiers in oncology
|March 13, 2024
PubMed
概括

这项研究开发了一种机器学习模型,使用病理特征来改善胃缩的诊断,提高一致性并将其与内镜分级和胃癌风险联系起来.

关键词:
缩性缩 (英语:Atrophy atrophy) 是一种损伤.癌症 癌症 癌症 癌症 癌症胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃肠胃机器学习是机器学习.病理学的病理学

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Peptic ulcer disease (PUD) presents with diverse symptoms depending on the location and severity of the ulcer. Clinical manifestations of peptic ulcer include dull pain and a burning sensation in the mid-epigastric region.
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