肺部肿瘤影像辅助诊断分类算法研究进展 崔冬梅.pdf

中国胸心血管外科临床杂志
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery
ISSN 10 模态融合等概念和技术，最后指出肺肿瘤分类领域现阶段存在的问题与困难，并展望了肺肿瘤分类的发展前景与
未来的研究方向。
【关键词】  肺肿瘤分类；深度学****影像组学；多模态融合；模型融合；综述
Research progress of auxiliary diagnosis classification algorithm for lung tumor
imaging
CUI Dongmei, WEI Guohui, ZHANG Xike, MA Zhiqing
College of Intelligence and Information Engineering, Shandong University of Traditional Chinese Medicine, Jinan, 250355, P. R. China
Corresponding authors: WEI Guohui, Email: ******@; MA Zhiqing, Email: ******@
【Abstract】 The classification of lung tumor with the help of computer-aided diagnosis system is very important
for the early diagnosis and treatment of malignant lung tumors. At present, the main research direction of lung tumor
classification is the model fusion technology based on deep learning, which classifies the multiple fusion data of lung
tumor with the help of radiomics knowledge. This paper reviews and summarizes the commonly used research algorithms
for lung tumor concepts and technologies of machine learning, radiomics, deep learning and multiple
data fusion are introduced. Finally, the existing problems and diff