Hangzhou Wan Xiang Polytechnic, Hangzhou 310023, China.
J Healthc Eng. 2021 Aug 19;2021:9049266. doi: 10.1155/2021/9049266. eCollection 2021.
Young people's physical and mental health is the foundation of society's overall development and the key to improving people's health quality. Middle school students' physical examinations and monitoring work are a surefire way to ensure their healthy development. Poor vision, dental caries, overweight and obesity, and high blood pressure are the most common adverse health outcomes of students caused by adolescent health risk behavior factors. Researchers have been concerned about the retinal fundus vascular system, which is the only internal vascular system that can be observed in a noninvasive state of the human body. Fundus images contain a wealth of disease-related information. Fundus images have been widely used in the field of medical auxiliary diagnosis because many important systemic diseases of the human body cause specific reactions in the fundus. Aiming to solve the problem of inseparable tiny blood vessels, this paper proposes a model of retinal vessel segmentation based on attention mechanisms. In light of the retinal arteriovenous division of discontinuous challenges, the topological structure of the constraint system along with overcoming the network and topology restrictions is monitored. Finally, simulation experiments were conducted on two publicly available datasets. The findings show that the proposed method is reliable, effective, and accurate in predicting physical health risk factors in adolescent students.
青少年的身心健康是社会全面发展的基础，也是提高人民健康素质的关键。中学生体检和监测工作是确保他们健康发展的可靠途径。视力不佳、龋齿、超重和肥胖以及高血压是由青少年健康风险行为因素引起的学生最常见的不良健康结果。研究人员一直关注视网膜眼底血管系统，它是人体唯一可以在非侵入状态下观察到的内部血管系统。眼底图像包含丰富的与疾病相关的信息。由于人体许多重要的系统性疾病会在眼底引起特定的反应，眼底图像已被广泛应用于医学辅助诊断领域。针对难以分割的微小血管问题，本文提出了一种基于注意力机制的视网膜血管分割模型。针对视网膜动静脉不连续的分割挑战，监测约束系统的拓扑结构，并克服网络和拓扑限制。最后，在两个公开可用的数据集上进行了仿真实验。结果表明，该方法在预测青少年学生的身体健康风险因素方面是可靠、有效和准确的。
