Publications by authors named "De-Xuan Li"
EBioMedicine
December 2021
Article Synopsis
- The study developed a convolutional neural network (ACNN) model to predict breast cancer molecular subtypes preoperatively using various ultrasound imaging techniques.
- The research included data from over 800 patients and compared the effectiveness of three different ACNN models with varying combinations of ultrasound image types.
- The multimodal ACNN model showed significantly better performance, with higher accuracy scores, than both dual-modal and monomodal models, as well as preoperative core needle biopsy methods for predicting the molecular subtypes of breast cancer.
