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t-SNE plot for all the extracted features of the training set from the first-phase training. The features are extracted from the fine-tuned 3D ResNet-18 model and are 512-d vectors, which are then embedded in the 2D space by t-SNE for visualization. The two groups of positive (orange) and negative (blue) samples are separated well in the 2D space.
