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增强智能用于乳腺癌多式虚拟活检,使用生成人工智能.

Aurora Rofena1, Claudia Lucia Piccolo2, Bruno Beomonte Zobel3

  • 1Unit of Artificial Intelligence and Computer Systems, University Campus Bio-Medico of Roma, Rome, Italy.

Journal of biomedical informatics
|December 28, 2025
PubMed
概括

这项研究引入了一种生成性AI方法,用于创建合成对比增强光谱乳房学 (CESM) 图像,在缺少真实CESM数据时改进非侵入性乳腺癌虚拟活检. 这种人工智能增强的方法提供了比仅使用全场数字猛乳镜 (FFDM) 更好的病变分类.

关键词:
乳腺癌 乳腺癌 乳腺癌简介:CESM是CESM的一种形式.生成型的人工智能 (GAI) 是一种人工智能.缺失的模式 缺失的模式多模式深度学习 (deep learning) 是一种多模式深度学习.虚拟活组织检查 虚拟活组织检查

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Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
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Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...