医学影像分析工具集设计与实现  

Design and Implementation of Medical Image Analytic Toolset

作　　者：余文子豪 平兰兰 She Wenzihao;Ping Lanlan(School of Electronic and Information Engineering,Anhui Jianzhu University,Hefei 230000,China)

机构地区：[1]安徽建筑大学电子与信息工程学院,合肥230000

出　　处：《办公自动化》2024年第16期69-71,共3页Office Informatization

基　　金：校级科研项目(2020BIAMC-1)。

摘　　要：随着机器学习技术的不断发展,计算机技术在医学图像数据分析中的作用也变得越来越重要。机器学习技术可提高诊断的准确性和效率,帮助医生更好地理解和利用医学图像数据,为患者提供更优质的医疗服务。文章结合实际需求,利用Python语言设计和开发工具集,为医学影像研究人员提供标准化、规范化、自动化和高效的数据分析平台工具。经实践检验,该工具集功能包括数据处理、特征提取、特征筛选和超参数选择功能模块,能提高工作效率并显著提升数据处理效率,为医学图像研究者、医生和从业人员提供全面、高效和可靠的医学图像分析工具。The role of computer technology in medical image data analysis has been increasingly important with the continuous development of machine learning technology.Machine learning can enhance the accuracy and efficiency of diagnoses,enabling doctors to better understand and utilize medical image data,ultimately leading to improved medical services for patients.This article addresses practical needs by utilizing Python to design a toolset that offers medical imaging researchers standardized,normalized,automated,and efficient data analysis platform tools.Through practical application,the toolset includes modules for data processing,feature extraction,feature screening,and hy-perparameter selection,all aimed at enhancing the work efficiency and significantly improving data processing eff-ciency.This toolset provides medical image researchers,doctors,and practitioners with a comprehensive,efficient,and reliable medical image analytic tool.

关 键 词：工具集 医学影像数据分析 PYTHON 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]