An artificial intelligence (AI) model was developed to discriminate between fibroadenomas and phyllodes tumors on core biopsy images. It employed a two-stage architecture comprising a convolutional neural network (CNN) component for feature extraction, and a recurrent neural network (RNN) component for whole-slide classification, with an overall slide-level accuracy of 87.5%.
- Chee Leong Cheng
- Nur Diyana Md Nasir
- Puay Hoon Tan
