Deep learning-based identification and quantification of rare circulating hybrid cells in orthotopic pancreatic cancer models
Significance Rare-cell identification in fluorescence microscopy remains challenging because targets are sparse and background varies between specimens. Combining specimen-specific fluorescence enrichment with image classification may enable efficient and more specific automated detection of rare cells. Aim We develope...