Enhancing the accuracy and efficiency of cytology with artificial intelligence powered analysis

通过人工智能支持的分析提高细胞学的准确性和效率

• 批准号: 600489
• 金额: $ 50.93万
• 依托单位: CYTOSYSTEMS LIMITED
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=600489
• 关键词: Enhancing; accuracy; efficiency; cytology; artificial

Cytosystems Ltd in conjunction with Pathognomics and Visio-Pharm are developing a laboratory based test called BladderLight. The BladderLight test assesses whether a urine sample taken from patients attending for initial diagnosis or for monitoring for recurrence of bladder cancer is indicative of patients having bladder cancer / urothelial carcinoma or not. The test uses specific biomarkers and fluorophores to stain cells fixed on a microscope slide which are subsequently scanned to create a digital image of the cells. Image analysis software assesses the image and provides a qualitative output for the presence or absence of bladder cancer.

Cytosystems Ltd与Pathognomics和Visio-Pharm合作，正在开发一种名为BladderLight的实验室测试。BladderLight测试评估从参加初次诊断或监测膀胱癌复发的患者中采集的尿液样本是否指示患者患有膀胱癌/尿路上皮癌。该测试使用特定的生物标志物和荧光团对固定在显微镜载玻片上的细胞进行染色，随后扫描以创建细胞的数字图像。图像分析软件评估图像并提供膀胱癌存在或不存在的定性输出。