Extended Data Fig. 8: Quality Metrics for Traditional U-Net Fluorescence Prediction. | Nature Machine Intelligence

Extended Data Fig. 8: Quality Metrics for Traditional U-Net Fluorescence Prediction.

From: A versatile deep learning architecture for classification and label-free prediction of hyperspectral images

Extended Data Fig. 8: Quality Metrics for Traditional U-Net Fluorescence Prediction.The alternative text for this image may have been generated using AI.

PCC metrics for the organelle fluorescence prediction models trained with a traditional U-Net using a single SRS image. While still highly correlated, we note the errant prediction of spurious features in Supplementary Figs 1 and 2.

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