Area of research
Artificial Intelligence · Computer Vision and Pattern Recognition
Research interest
Research focused on Breast cancer and Artificial intelligence, with related work in Raman spectroscopy, Invasive ductal carcinoma, Oversampling. Notable publications include 'Detection of breast cancer of various clinical stages based on serum FT-IR spectroscopy combined with multiple algorithms', 'Research on Application of Classification Model Based on Stack Generalization in Staging of Cervical Tissue Pathological Images', and 'Serum Raman spectroscopy combined with Deep Neural Network for analysis and rapid screening of hyperthyroidism and hypothyroidism'.
PGFiT-Net: a two-stream human action recognition model with pose-gated and FiLM-conditioned fusion
Detection of breast cancer of various clinical stages based on serum FT-IR spectroscopy combined with multiple algorithms
Research on Application of Classification Model Based on Stack Generalization in Staging of Cervical Tissue Pathological Images
Serum Raman spectroscopy combined with Deep Neural Network for analysis and rapid screening of hyperthyroidism and hypothyroidism
Prediction of tumor size in patients with invasive ductal carcinoma using FT-IR spectroscopy combined with chemometrics: a preliminary study