东北大学主页平台 Wei Li--Home-- W Li, S Wang, W Xie, C Feng, A Quantitative Heterogeneity Analysis Approach to Molecular Subtypes Recognition of Breast Cancer in DCE-MRI Images from Radiomics data. Quantitative Imaging in Medicine and Surgery, 2023

Wei Li Professor

栗伟，东北大学计算机科学与工程学院，教授，博士生导师，研究方向是人工智能理论与技术，研究领域包括医学临床数据分析、医疗康复机器人。主持与参与“国家重点研发专项”、“科技支撑计划”、“863计划”、国家自然科学基金、辽宁省市科技创新计划等多个项目/课题；在国内外学术期刊发表SCI论文50余篇，获得授权发明专利23项，软件著作权8项；先后荣获“辽宁省科技进步一等奖”等奖励4项。

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W Li, S Wang, W Xie, C Feng, A Quantitative Heterogeneity Analysis Approach to Molecular Subtypes Recognition of Breast Cancer in DCE-MRI Images from Radiomics data. Quantitative Imaging in Medicine and Surgery, 2023

Release Time:2023-06-26 Hits:

Title of Paper: W Li, S Wang, W Xie, C Feng, A Quantitative Heterogeneity Analysis Approach to Molecular Subtypes Recognition of Breast Cancer in DCE-MRI Images from Radiomics data. Quantitative Imaging in Medicine and Surgery, 2023
Translation or Not: No

Prev One: Wang L J, Li W, Xie W D, et al. Dual-GCN-based deep clustering with triplet contrast for ScRNA-seq data analysis[J]. Computational Biology and Chemistry, 2023, 106: 107924.

Next One: W Li, Y Cao, S Wang, B Wan, Fully Feature Fusion Based Neural Network for COVID-19 Lesion Segmentation in CT Images. Biomedical Signal Processing and Control, 2023