Research status and development trends of medical image recognition technology
10.3969/j.issn.1005-202X.2025.06.004
- VernacularTitle:医学图像识别技术的研究现状与发展趋势
- Author:
Shili WU
1
;
Yongkun GUO
;
Chao QIAN
;
Ying LI
;
Xinyou ZHANG
Author Information
1. 江西中医药大学计算机学院,江西 南昌 330004
- Publication Type:Journal Article
- Keywords:
medical image recognition;
deep learning;
multimodal;
three-dimensional reconstruction;
review
- From:
Chinese Journal of Medical Physics
2025;42(6):719-729
- CountryChina
- Language:Chinese
-
Abstract:
Medical image recognition is a technology that utilizes computer algorithms to process,analyze and understand medical images,aiming to identify various patterns,targets and objects,thereby aiding doctors in more accurate diagnosis and treatment.Current researches in medical image recognition mainly focuses on medical image classification,lesion location and segmentation,image registration and fusion,content-based image retrieval,as well as three-dimensional reconstruction and visualization.The review provides a summary of the research directions and trends in medical image recognition,introducing concepts and technologies such as deep learning,multimodal fusion,three-dimensional reconstruction and visualization.It also highlights the applications of medical image recognition in medical imaging diagnosis,pathological analysis and radiotherapy planning,while pointing out the existing problems and challenges.Furthermore,the future developments and challenges of medical image recognition technology are put forward for providing a reference for medical image recognition research and clinical medical image analysis.
