Area of research
Analytical Chemistry · Biophysics
Research interest
Research focused on Artificial intelligence and Raman spectroscopy, with related work in Receiver operating characteristic, Convolutional neural network, Lung cancer. Notable publications include 'Research on the Auxiliary Classification and Diagnosis of Lung Cancer Subtypes Based on Histopathological Images', 'Sparse Bayesian learning for off-grid DOA estimation with nested arrays', and 'Identification of cumin and fennel from different regions based on generative adversarial networks and near infrared spectroscopy'.
The MLSE-SCAM architecture combines with the improved DRSN-TIC model for Raman spectroscopy small-sample data learning
Application of Raman spectroscopy technology based on deep learning algorithm in the rapid diagnosis of glioma
Serum Raman spectroscopy combined with Gaussian—convolutional neural network models to quickly detect liver cancer patients
Research on the Auxiliary Classification and Diagnosis of Lung Cancer Subtypes Based on Histopathological Images
Identification of cumin and fennel from different regions based on generative adversarial networks and near infrared spectroscopy
A novel diagnostic method: FT-IR, Raman and derivative spectroscopy fusion technology for the rapid diagnosis of renal cell carcinoma serum
Rapid diagnosis of lung cancer and glioma based on serum Raman spectroscopy combined with deep learning
Detection of breast cancer of various clinical stages based on serum FT-IR spectroscopy combined with multiple algorithms
Recognition of chronic renal failure based on Raman spectroscopy and convolutional neural network
Human serum mid-infrared spectroscopy combined with machine learning algorithms for rapid detection of gliomas
Rapid identification of papillary thyroid carcinoma and papillary microcarcinoma based on serum Raman spectroscopy combined with machine learning models
Research on Application of Classification Model Based on Stack Generalization in Staging of Cervical Tissue Pathological Images
Feature Fusion Combined With Raman Spectroscopy for Early Diagnosis of Cervical Cancer
Breast Cancer Case Identification Based on Deep Learning and Bioinformatics Analysis
Application of serum mid-infrared spectroscopy combined with an ensemble learning method in rapid diagnosis of gliomas
Prediction of tumor size in patients with invasive ductal carcinoma using FT-IR spectroscopy combined with chemometrics: a preliminary study
Feature fusion combined with tissue Raman spectroscopy to screen cervical cancer
The application of feature engineering in establishing a rapid and robust model for identifying patients with glioma
Raman spectroscopy combined with multiple algorithms for analysis and rapid screening of chronic renal failure
Rapid detection of seven indexes in sheep serum based on Raman spectroscopy combined with DOSC-SPA-PLSR-DS model
Classification of multicategory edible fungi based on the infrared spectra of caps and stalks
Rapid, non-invasive screening of keratitis based on Raman spectroscopy combined with multivariate statistical analysis
Discrimination of alcohol dependence based on the convolutional neural network
Application of PLSR in rapid detection of glucose in sheep serum
Sparse Bayesian learning for off-grid DOA estimation with nested arrays