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 developed a two-stage framework to identify and quantify candidate rare circulating…
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