Before revision:  To capture the spatial context of entire cell clusters we deploy a similar architecture expanded by style transfer capability. Models based on clusters of adjoined embedding points are generated to analyze the characteristic cell mutation process of breast cancer .
After revision:  To capture the spatial context of entire cell clusters we deploy a novel deep topology transformer that implements and attention mechanism on cell group images to extract features for the frozen feature decoder. The proposed algorithms achieves high quantitative and qualitative synthesis evident in comparative evaluation metrics such as a low Frechet-Inception scores .