深度学习在骨肌系统影像领域的应用进展
Applications of deep learning in musculoskeletal system imaging
宗豪愉 1秦宇梁 1游子远1
作者信息
- 1. 首都医科大学第八临床医学院教育处 北京 100045
- 折叠
摘要
医学影像对骨肌系统疾病的诊断、监测等至关重要.深度学习技术在骨肌系统图像处理和诊断中的应用不断扩展,提高了其诊断精度和效率,在骨肌疾病影像学中的优势明显、应用价值较高.本文总结了深度学习在多种骨肌系统疾病临床诊断、预后评估中的作用.
Abstract
Medical imaging is essential for diagnosing and tracking musculoskeletal illnesses.Deep learning technology is increasingly being used in musculoskeletal image processing and diagnosis to enhance diagnostic accuracy and efficiency,showcasing its benefits and practical utility in musculoskeletal radiology.This article outlines the use of deep learning in different image processing tasks related to the musculoskeletal system,including picture segmentation and registration,and its impact on clinical diagnosis and prognostic assessment of musculoskeletal illnesses.
关键词
骨肌系统/影像诊断/深度学习Key words
Musculoskeletal system/Imaging diagnosis/Deep learning引用本文复制引用
基金项目
国家自然科学基金(61827809)
首都医科大学学生科研创新项目(XSKY2021008)
出版年
2024
NETL
NSTL
万方数据