单位：[1]Peking University China-Japan Friendship School of Clinical Medicine,Beijing, China[2]Department of Nephrology, China-Japan Friendship Hospital,Beijing, China[3]Department of Biomedical Engineering, Tsinghua University,Beijing, China[4]School of Information and Electronics, Beijing Institute ofTechnology, Beijing, China[5]Department of Nephrology, PLA Rocket ForceCharacteristic Medical Center, Beijing, China
BackgroundCommon subtypes seen in Chinese patients with membranous nephropathy (MN) include idiopathic membranous nephropathy (IMN) and hepatitis B virus-related membranous nephropathy (HBV-MN). However, the morphologic differences are not visible under the light microscope in certain renal biopsy tissues.MethodsWe propose here a deep learning-based framework for processing hyperspectral images of renal biopsy tissue to define the difference between IMN and HBV-MN based on the component of their immune complex deposition.ResultsThe proposed framework can achieve an overall accuracy of 95.04% in classification, which also leads to better performance than support vector machine (SVM)-based algorithms.ConclusionIMN and HBV-MN can be correctly separated via the deep learning framework using hyperspectral imagery. Our results suggest the potential of the deep learning algorithm as a new method to aid in the diagnosis of MN.
基金：
Beijing talent foundation outstanding young individual project [2018000052580G470]
第一作者单位：[1]Peking University China-Japan Friendship School of Clinical Medicine,Beijing, China[2]Department of Nephrology, China-Japan Friendship Hospital,Beijing, China
通讯作者：
推荐引用方式(GB/T 7714)：
Tu Tianqi,Wei Xueling,Yang Yue,et al.Deep learning-based framework for the distinction of membranous nephropathy: a new approach through hyperspectral imagery[J].BMC NEPHROLOGY.2021,22(1):doi:10.1186/s12882-021-02421-y.
APA：
Tu, Tianqi,Wei, Xueling,Yang, Yue,Zhang, Nianrong,Li, Wei...&Li, Wenge.(2021).Deep learning-based framework for the distinction of membranous nephropathy: a new approach through hyperspectral imagery.BMC NEPHROLOGY,22,(1)
MLA：
Tu, Tianqi,et al."Deep learning-based framework for the distinction of membranous nephropathy: a new approach through hyperspectral imagery".BMC NEPHROLOGY 22..1(2021)
