Abstract: Highlights•Developed In-and-Out Net for label-free H&E virtual staining via two channels.•Model handles label-free and dye-separated chemically stained image inputs.•Features distinct inner/outer loops with an optimized training strategy.•Achieves state-of-the-art results in label-free and stain-to-stain virtual staining.•Ablation study confirms effectiveness and necessity of model architecture.•Reflectance/fluorescence images collected with pixel-perfect matching.
External IDs:dblp:journals/cmig/ChenLKFRLSMT24
Loading