Workflow from Scientific Research

The input consists of LSFM brain slices, while the reference images are from the Allen atlas. The DNN based on CycleGAN consists of two generators and two discriminators. Generator A generates Allen-style images from LSFM-style images, whereas Generator B generates LSFM-style images from Allen-style images. Discriminator A discriminates between original and synthetic LSFM images and Discriminator B does the same for Allen images. The final output is the synthetic Allen images, which are converted to the Allen style with their original content. The brain outlines segmented by CEA-Net are employed as constraints during CycleGAN training.

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