Fig. 2: ROI-level assessment of HistoPlexer.
From: Histopathology-based protein multiplex generation using deep learning
a, Quantitative assessment and comparison against benchmarks using MS-SSIM, PSNR and RMSE-SW for MP and SP settings. The up arrow indicates higher values are better. The down arrow indicates lower values are better. The best results are highlighted in bold. b, Qualitative assessment of HistoPlexer for three ROIs ((i)–(iii)) with H&E as input to HistoPlexer, and expression profiles of individual markers: MelanA, CD3, CD8a, CD20, SOX10 and CD16. Top rows: GT expression profiles from IMC modality; bottom rows: predicted (Pred) expression profiles from HistoPlexer. Scale bars, 100 μm.
