Publications by authors named "Lipu Zhou"

Article Synopsis
  • Classifying gliomas by grade is crucial for personalized surgical planning, improving patient prognosis.
  • Raman spectroscopy aids in real-time diagnosis but faces challenges due to similar spectral characteristics of high-grade and low-grade gliomas compared to normal tissue.
  • The study introduces the Multi-Scale Convolutional Attention Residual Network (M-SCA ResNet), which outperformed traditional methods with over 85% accuracy in classifying different tissue types and utilized Grad-CAM for better interpretability of the model's decisions.
View Article and Find Full Text PDF