Cross-attention guided explainable deep transformer model for multi-level classification of rare neurological disorders using MRI images (opens in new tab)
Neurological disorders (ND) impact a significant number of the population all over the world, affecting the brain, spinal cord, and peripheral nerves. These disorders are classified as NeuroDegenerative, NeuroBiological, and NeuroDevelopmental disorders, which vary from common to rare disorders. Traditional deep learning methods often fail to generalize efficiently in these settings and are developed for common or single-label disease classification. Also, the insufficient interpretability in...
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