Morphological feature visualization of Alzheimer's disease via Multidirectional Perception GAN

@article{Yu2022MorphologicalFV,
  title={Morphological feature visualization of Alzheimer's disease via Multidirectional Perception GAN},
  author={Wen Yu and Baiying Lei and Yanyan Shen and Shuqiang Wang and Yong Liu and Zhiguang Feng and Yong Hu and Michael K. Ng},
  journal={IEEE transactions on neural networks and learning systems},
  year={2022},
  volume={PP}
}
The diagnosis of early stages of Alzheimer's disease (AD) is essential for timely treatment to slow further deterioration. Visualizing the morphological features for early stages of AD is of great clinical value. In this work, a novel multidirectional perception generative adversarial network (MP-GAN) is proposed to visualize the morphological features indicating the severity of AD for patients of different stages. Specifically, by introducing a novel multidirectional mapping mechanism into the… 

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