Design and Implementation of Patient Online Guide System  

患者在线导诊系统的设计与实现

作　　者：Nada Mohsen Darwish Mohamed Dong Liang Wang Lin Sun Guiling 李灵;董亮;王琳;孙桂玲(南开大学电子信息与光学工程学院,天津300350)

机构地区：[1]College of Electronic Information and Optical Engineering,Nankai University,Tianjin 300350,China

出　　处：《南开大学学报（自然科学版）》2024年第4期37-43,共7页Journal of Nankai University(Natural Sience)

基　　金：Supported by the Natural Science Foundation of Tianjin(21JCZDJC00340)。

摘　　要：The design and implementation of an online guide system were presented for patients.The system offers a website that makes it easier for patients,or any ordinary visitor to diagnose their disease by simply uploading their MRI image,the website also assists the patient in determining the doctor they need to see,and finding the nearest hospital or blood bank.To build the website,SQL Server,MAT-LAB,and Adobe Dreamweaver were utilized.The rapid increase in digital images produced in hospitals us-ing medical imaging techniques such as X-Ray,CT scans,MRI,and ultrasound has increased the demand for efficient image retrieval systems.Personal description,and annotation of each image in a large database using text-based indexing(also known as the Metadata approach)is time-consuming,and impractical,making Content-based Image Retrieval(CBIR)a better option.CBIR system proposed returns results based on visual features of the image,such as color,texture,and shape.目前,医院使用X射线、CT扫描、MRI和超声波等医学成像技术生成的数字图像数量迅速增加,加大了人们对高效图像检索系统的需求.基于SQL数据库、MATLAB和Adobe Dreamweaver设计并实现了患者在线导诊系统.该系统提供的网站,让患者或任何普通访客只需上传MRI图像就可轻松地诊断疾病.该网站还帮助患者确定需要看的医生并找到最近的医院或血库.所应用的基于内容的图像检索(CBIR)系统根据图像的颜色、纹理和形状等视觉特征返回结果,节省了人工成本并缩减了患者的诊断时间.

关 键 词：CBIR DATABASE information retrieval systems wavelet transform 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]