图像分割技术在医疗健康领域运用分析  

Image Segmentation Technology in the Field of Medical and Health Analysis

作　　者：金晓波 王科杰 JIN Xiaobo;WANG Kejie(Taizhou Vocational College of Science and technology,Zhejiang Taizhou 318000;Zhejiang Xingda Xun Software Co.,Ltd.,zhejiang Taizhou 318000)

机构地区：[1]台州科技职业学院,浙江台州318000 [2]浙江兴达讯软件股份有限公司,浙江台州318000

出　　处：《长江信息通信》2024年第8期149-151,共3页Changjiang Information & Communications

摘　　要：在医疗健康数据融合、共享的背景下,利用图像分割技术处理医学影像,从中获得可以准确反映病情表征状态的图像特征信息,能够推动智能诊疗技术发展,降低医疗行业面临的巨大健康服务压力。基于此,对图像分割技术展开了分析,从疾病诊断、治疗规划、健康管理三个方面对基于模糊向量机、神经网络、深度学习等智能算法的图像分割技术展开分析,了解相关技术在医疗健康领域的运用效果,能够为科学开展智能诊疗活动提供参考。under the background of medical health data fusion and sharing,medical images are processcd by image scgmentation technology to obtain the image feature information which can accurately reflect the state of illness,it can promote the development of intelligent diagnosis and trecatment technology and reduce the enormous pressure of health service faced by medical industry.Based on this,the image segmentation technology is analyzed,the image segmentation technology based on fuzzy vector machine,neural network and depth learning is analyzed from three aspects of disease diagnosis,treatmcnt planning and health management,to understand the application effect of related technology in the field of medical and health care can provide reference for scientific development of intelligent diagnosis and treatment activities.

关 键 词：图像分割技术 医疗健康 智能诊疗 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]