RB-Care:一种人工智能系统,用于对视网母细胞瘤进行自动定量评估和监测
Yarou Hu1, Xinyu Zhao2, Zhenquan Wu2
1Shenzhen Eye Hospital, Jinan University, People's Republic of China.
Translational vision science & technology
|August 11, 2025
概括
一个人工智能系统,RB-Care,准确地分类视网膜母细胞瘤 (RB),并量化瘤. 这为改善临床环境中的RB评估和监测提供了客观的测量.
科学领域:
- 眼科医生 眼科 眼科
- 人工智能的人工智能
- 医疗成像医学成像
背景情况:
- 对视网膜母细胞瘤 (RB) 的准确评估和监测对于患者的治疗结果至关重要.
- 目前用于RB测量的方法可能是低效和主观的.
- 在RB诊断和监测中需要客观的,定量化的工具.
研究的目的:
- 开发一个人工智能 (AI) 系统,RB-Care,用于视网膜母细胞瘤的自动分类和定量评估.
- 创建能够对 fundus 图像进行分类和对眼瘤和光盘进行细分的 AI 模型.
- 为网膜母细胞瘤监测提供一个客观的测量工具.
主要方法:
- 开发并验证了两种AI模型,使用3730个广场基金图像.
- 训练了一种分类模型,将图像分类为正常,未播种的RB或播种的RB.
- 开发了一个细分模型用于瘤和光盘检测和测量未播种的RB病例.
主要成果:
- RB-Care分类模型实现了0.9734的准确性和0.9970的AUC.
- 分段模型表现出高性能,mIoU为0.9670和DSC为0.9780的瘤.
- 光盘的细分实现了近乎完美的得分 (mIoU 0.9999,DSC 0.9999),与眼科医生相比.
结论:
- 在分类和细分视网膜母细胞瘤方面,RB-Care表现出色.
- 该系统可以客观地量化瘤大小和距离光盘的距离.
- 在临床实践中,RB-Care为客观定量评估和监测RB提供了有价值的工具.
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Tumor suppressor genes are normal genes that can slow down cell division, repair DNA mistakes, or program the cells for apoptosis in case of irreparable damage. Hence, they play an essential role in preventing the proliferation of damaged cells.
The first-ever tumor suppressor gene called Rb was identified in retinoblastoma - a rare eye tumor in children. In inherited forms of the disease, a child inherits one defective copy of the Rb gene, which predisposes them to retinoblastoma. However,...
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