Quantifying HiPSC-CM structural organization at scale with deep learning-enhanced SarcGraph
Fig 6
This figure presents the performance of a Support Vector Regression (SVR) model on predicting cellular structural organization scores.
The model was trained on the train dataset and evaluated on two test datasets: Test FISH and Test Live. Strip plots and box plots are used to compare expert scores with model predictions across the Train, Test FISH, and Test Live datasets. The figure also highlights visual examples of cells with both the highest predicted scores and cases where there is significant discrepancy between expert and model scores.