早产儿视网膜病变智能筛查系统
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摘要
早产儿视网膜病变,又称ROP,是一种新生儿增生性的血管疾病,多发于早产儿和低体重儿,严重时可能导致失明。然而,ROP筛查工作面临着诊断依赖个人主观意愿、医疗资源不平衡等一系列问题。提出一种基于深度学习的ROP智能筛查算法,并通过实验取得较高的准确率,同时,在此基础上,开发一款基于B/S架构的ROP智能筛查系统。
Retinopathy of prematurity, also known as ROP, is a neonatal proliferative vascular disease, mostly in preterm and low-weight infants, which can lead to blindness in severity. However, ROP screening is faced with a series of problems such as diagnosis relying on individual subjective will and imbalance of medical resources. Proposes a kind of ROP intelligent screening algorithm based on deep learning, and a high accuracyrateisobtainedthroughexperiments,andonthisbasis,developsaROPintelligentscreeningsystembasedonB/Sarchitecture.
Retinopathy of prematurity, also known as ROP, is a neonatal proliferative vascular disease, mostly in preterm and low-weight infants, which can lead to blindness in severity. However, ROP screening is faced with a series of problems such as diagnosis relying on individual subjective will and imbalance of medical resources. Proposes a kind of ROP intelligent screening algorithm based on deep learning, and a high accuracyrateisobtainedthroughexperiments,andonthisbasis,developsaROPintelligentscreeningsystembasedonB/Sarchitecture.
引文
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