About this document
Breast Cancer Histopathology Image Based Gene Expression Prediction Using Spatial Transcriptomics Data and Deep Learning by refat is a document available to read on EtoBox.
The document presents BrST-Net, a deep learning framework designed to predict gene expression from breast cancer histopathology images using spatial transcriptomics data. This framework outperforms previous methods by accurately predicting 237 genes with a positive correlation, significantly improving upon earlier studies that could only predict 102 genes. The study highlights the potential of using routine histology images as a cost-effective alternative to spatial transcriptomics for large-scale clinical
- Author
- refat
- Language
- EN