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Fig. 4 | BMC Medical Informatics and Decision Making

Fig. 4

From: Adopting transfer learning for neuroimaging: a comparative analysis with a custom 3D convolution neural network model

Fig. 4

UMAP visualizations for the original data (top), after being passed through the pre-trained models, InceptionV3 b, VGG16 c , and ResNet50 d, finally with 3D custom model e. The UMAP embeddings were created using the unsupervised version of UMAP. All subplots maintain the same color scheme for the target classes, i.e., yellow, purple, blue, and green identify CN, AD, MCI, and DLB, respectively using the ground-truth labels

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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