[1]刘燕茹,毕宇越,汪宇航,等.“新医科”背景下医学图像处理教学软件的研究与开发[J].中国医学物理学杂志,2024,41(3):333-339.[doi:DOI:10.3969/j.issn.1005-202X.2024.03.011]
 LIU Yanru,BI Yuyue,WANG Yuhang,et al.Research and development of teaching software for medical image processing under the background of "new medical science"[J].Chinese Journal of Medical Physics,2024,41(3):333-339.[doi:DOI:10.3969/j.issn.1005-202X.2024.03.011]
点击复制

“新医科”背景下医学图像处理教学软件的研究与开发()
分享到:

《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
41卷
期数:
2024年第3期
页码:
333-339
栏目:
医学影像物理
出版日期:
2024-03-27

文章信息/Info

Title:
Research and development of teaching software for medical image processing under the background of "new medical science"
文章编号:
1005-202X(2024)03-0333-07
作者:
刘燕茹1毕宇越1汪宇航1朱婷2贾俊妮2唐思源2
1.包头医学院医学技术学院, 内蒙古 包头 014030; 2.包头医学院计算机与科学技术系, 内蒙古 包头 014030
Author(s):
LIU Yanru1 BI Yuyue1 WANG Yuhang1 ZHU Ting2 JIA Junni2 TANG Siyuan2
1. School of Medical Technology, Baotou Medical College, Baotou 014030, China 2. School of Computer and Science Technology, Baotou Medical College, Baotou 014030, China
关键词:
医学图像处理新医科教学软件开发
Keywords:
Keywords: medical image processing new medical science development of teaching software
分类号:
R318;TP391.4
DOI:
DOI:10.3969/j.issn.1005-202X.2024.03.011
文献标志码:
A
摘要:
针对“新医科”背景下医学图像处理课程所面临的形势和教学现状,开发了与其教学过程高度契合的医学图像处理教学软件,该教学软件可实现医学图像的线性灰度变换、开窗显示、缩放、旋转、镜像、中值滤波、微分锐化、边缘检测、直方图获取和直方图均衡,并可在一定范围内调节线性灰度变换、开窗显示、缩放、旋转、中值滤波、微分锐化、边缘检测的参数,同时用不同算法实现了医学图像的缩放功能。该教学软件用于包头医学院医学图像处理课程理论与实验教学中,可提高学生学习的主动性和积极性,能强化学生对放射技师考点知识的理解,为后续课程的学习打下坚实基础,最终实现“新医科”背景下包头医学院医学影像技术专业“医工”、“医理”的深度交叉融合。
Abstract:
Abstract: In response to the current situation and teaching status of the medical image processing course on the background of "new medical science", a teaching software which is highly compatible with the teaching process of medical image processing is developed. The teaching software allows for linear grayscale transformation, windowing display, scaling, rotation, mirroring, median filtering, differential sharpening, edge detection, histogram acquisition, and histogram equalization of medical images. Additionally, it enables parameter adjustments within a certain range for linear grayscale transformation, windowing display, scaling, rotation, median filtering, differential sharpening, and edge detection. Meanwhile, it employs different algorithms to achieve the scaling of medical images. The teaching software is used in the theoretical and experimental teaching of medical image processing courses at Baotou Medical College. It can improve students initiative and enthusiasm in learning, strengthen their understanding of the examination points for radiology technicians, lay a solid foundation for subsequent courses, and ultimately achieve the goal of in-depth integration of "Medical Engineering" and "Medical Science" in the medical image technology major at Baotou Medical College under the background of "new medical science".

相似文献/References:

[1]许红玉,聂生东,刘颖,等.《医学图像处理》课程网站建设[J].中国医学物理学杂志,2013,30(02):4076.[doi:10.3969/j.issn.1005-202X.2013.02.027]
[2]王弈,李传富.人工智能方法在医学图像处理中的研究新进展[J].中国医学物理学杂志,2013,30(03):4138.[doi:10.3969/j.issn.1005-202X.2013.03.013]
[3]张红军,闫士举.基于双侧乳腺图像“共用”阈值分割的乳腺癌近期发病预测[J].中国医学物理学杂志,2017,34(8):820.[doi:DOI:10.3969/j.issn.1005-202X.2017.08.013]
[4]皮一飞,吴茜,裴曦,等.基于掩膜优化的多模态医学图像刚性配准[J].中国医学物理学杂志,2018,35(9):1022.[doi:10.3969/j.issn.1005-202X.2018.09.006]
 PI Yifei,WU Qian,PEI Xi,et al.Rigid registration of multimodal medical images based on mask optimization[J].Chinese Journal of Medical Physics,2018,35(3):1022.[doi:10.3969/j.issn.1005-202X.2018.09.006]
[5]孙旭阳,石更强.基于CT影像的人体踝关节三维重建[J].中国医学物理学杂志,2022,39(7):850.[doi:DOI:10.3969/j.issn.1005-202X.2022.07.010]
 SUN Xuyang,SHI Gengqiang.Three-dimensional reconstruction of the ankle joint based on CT image[J].Chinese Journal of Medical Physics,2022,39(3):850.[doi:DOI:10.3969/j.issn.1005-202X.2022.07.010]
[6]潘依乐,高永彬.多模态弱监督学习在肝癌图像生成与分割中的应用[J].中国医学物理学杂志,2024,41(1):8.[doi:DOI:10.3969/j.issn.1005-202X.2024.01.002]
 PAN Yile,GAO Yongbin.Application of multimodal weakly-supervised learning in image synthesis and segmentation of liver cancer[J].Chinese Journal of Medical Physics,2024,41(3):8.[doi:DOI:10.3969/j.issn.1005-202X.2024.01.002]
[7]贺斌,高永彬.基于非局部卷积和卷积注意力模块的眩晕眼震诊断方法[J].中国医学物理学杂志,2024,41(5):571.[doi:DOI:10.3969/j.issn.1005-202X.2024.05.007]
 HE Bin,GAO Yongbin.Diagnostic methods for nystagmus in vertigo based on non-local convolution and convolutional block attention module[J].Chinese Journal of Medical Physics,2024,41(3):571.[doi:DOI:10.3969/j.issn.1005-202X.2024.05.007]
[8]王卓然,方志军,王海玲,等.基于双重注意力机制增强的复合型眼震分类框架[J].中国医学物理学杂志,2024,41(9):1093.[doi:DOI:10.3969/j.issn.1005-202X.2024.09.006]
 WANG Zhuoran,FANG Zhijun,WANG Hailing,et al.Composite nystagmus classification framework enhanced by dual attention mechanism[J].Chinese Journal of Medical Physics,2024,41(3):1093.[doi:DOI:10.3969/j.issn.1005-202X.2024.09.006]

备注/Memo

备注/Memo:
【收稿日期】2023-10-09 【基金项目】内蒙古自治区教育科学研究“十四五”规划课题(NGJGH2022218);内蒙古自治区大学生创新创业训练计划项目(S202310130011);包头医学院“问学计划”“为学计划”“践学计划”研究项目(2021BYWWJ-YB-34) 【作者简介】刘燕茹,硕士,副教授,研究方向:医学图像处理,E-mail: liumin_1009@126.com 【通信作者】唐思源,硕士,教授,研究方向:医学图像处理,E-mail: 584436042@qq.com
更新日期/Last Update: 2024-03-27