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使用基于变压器的融合模型识别肝脏囊性赤道球菌病的病变生物活性

Zhanjin Wang¹, Fuyuan Li¹, Junjie Cai¹

¹Qinghai University, Xining, Qinghai, China.

The Journal of infection

|March 6, 2025

概括

一个基于变压器的融合模型使用CT图像和临床数据准确地区分肝脏囊性赤道球菌 (HCE) 病变活动. 这种先进的AI方法显示出高性能,有助于有效的HCE治疗计划.

科学领域:

医疗成像医学成像
人工智能在医学中的应用
寄生虫学的寄生虫学

背景情况:

准确评估肝囊性赤道球菌病 (HCE) 病变活性对于有效治疗至关重要.
目前的方法需要改进,以精确区分HCE病变活力.

研究的目的:

评估基于变压器的融合模型,以评估HCE病变的生物活性.
为了比较各种数据类型集成的多式联通融合模型的性能.

主要方法:

对700名HCE患者CT图像和临床数据的分析.
开发临床,放射学,2D深度学习和3D深度学习模型.
使用特征级和决策级融合构建基于变压器的多式联通融合模型.

主要成果:

与radiomics和2D深度学习相比,3D深度学习功能显示出更高的区分能力.
基于变压器的融合模型实现了高AUC值 (0.997内部,0.944外部验证).
融合模型在区分HCE损伤活动方面表现优于特征级和决策级的融合模型.

结论:

变压器多式融合模型准确地区分了HCE损伤的生物活性.
临床,放射学和深度学习特征的整合提高了诊断性能.
这个模型在HCE管理中具有显著的临床应用潜力.

关键词:

深度学习是一种深度学习.肝发性 cystic echinococcosis 肝发性 cystic echinococcosis 肝发性 cystic echinococcosis 肝发性 cystic echinococcosis 肝发性 cystic echinococcosis 肝发性 cystic echinococcosis 肝发性 cystic echinococcosis 肝发性 cystic echinococcosis 肝发性 cystic echinococcosis 肝发性 cystic echinococcosis 肝发性 cystic echinococcosis 肝发性 cystic echinococcosis 肝发性 cystic echinococcosis 肝发性 cystic 损伤的生物活性无线电学 (Radiomics) 是一种无线电学.变压器变压器变压器

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