医学影像学生Python课程设计及实践  

Python Course Design and Practice for Medical Imaging Students

作　　者：钟丽明[1] 郝立魏 曹蕾[1] 阳维[1] ZHONG Li-ming;HAO Li-wei;CAO Lei;YANG Wei(School of Biomedical Engineering,Southern Medical University,Guangzhou,Guangdong 510515,China)

机构地区：[1]南方医科大学生物医学工程学院,广东广州510515

出　　处：《教育教学论坛》2024年第17期153-156,共4页Education And Teaching Forum

基　　金：2022年度广东省高等教育教学改革项目“Python生物医学计算基础在线教学平台建设与应用”;2022年度广东省本科高校在线开放课程指导委员会研究课题“用还原生物学思维改造生物医学类Python编程混合式教学”(2022ZXKC084);南方医科大学生物医学工程学院信息技术系教学业务费(B100300005)。

摘　　要：研究医学影像学生Python课程的设计与实践。Python编程语言在医学影像学领域的应用日益广泛,然而当前以生物医学数据为主的教学往往未能满足医学影像学生的专业需求。为此,设计了以医学影像数据案例驱动的教学模式,并增加了数据展示与可视化和影像组学分析的小组创新项目训练。教学实践表明,学生对课程设计表现出了较高的学习兴趣,小组创新项目训练培养了学生的实践应用和问题解决能力。然而,仍需要进一步加强专业方向内容,提供更多实践机会,以满足学生的学习需求。This instructional paper aims to investigate the design and implementation of a Python course for medical imaging students.The application of Python programming language in the field of medical imaging is increasingly widespread.However,the current teaching,which primarily focuses on biomedical data,often fails to meet the specialized needs of medical imaging students.To address this,we have devised a teaching model driven by medical imaging data cases,and incorporated group-based innovative projects focusing on data visualization and imageomics analysis.The teaching practice demonstrates that students have shown a high level of interest in the course design,and the group-based innovative projects have nurtured their practical application and problemsolving skills.Nevertheless,further improvements are needed in terms of enhancing domain-specific content and providing more practical opportunities to cater to students' learning needs.

关 键 词：Python编程语言 医学影像 数据展示 影像组学 

分 类 号：G642.0[文化科学—高等教育学]