D-Cube combines selected diffusion-model feature maps with ResNet sub-features and custom losses to improve medical image classification.
Synthetic CT generation from CBCT images via deep learning,
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D-Cube: Exploiting Hyper-Features of Diffusion Model for Robust Medical Classification
D-Cube combines selected diffusion-model feature maps with ResNet sub-features and custom losses to improve medical image classification.