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Updated: Jul 15, 2026

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软骨瘤组织病理学分类中的弱监督学习:一种可解释的方法

Chunbao Wang1,2, Xianglong Du3, Xiaoyu Yan3

  • 1Department of Pathology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.

Frontiers in medicine
|December 26, 2024
PubMed
概括

本研究引入了用于胸腺瘤分类的AI模型,实现了高准确性和可解释性. 人工智能工具通过提供视觉热图来帮助病理学家,提高了胸腺瘤亚型的诊断可靠性.

关键词:
人工智能的人工智能是人工智能.组织病理学 组织病理学可以解释的解释性.多级别的学习多级别的学习.蒂莫莫马马 (thymomaoma) 是一种疾病.

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