Cross-Modal Domain Adaptation in Brain Disease Diagnosis: Maximum Mean Discrepancy-based Convolutional Neural Networks

arXiv:2405.03235v1 Announce Type: cross
Abstract: Brain disorders are a major challenge to global health, causing millions of deaths each year. Accurate diagnosis of these diseases relies heavily on advanced medical imaging techniques such as Magnetic Resonance Imaging (MRI) and Computed Tomography (CT). However, the scarcity of annotated data poses a significant challenge in deploying machine learning models for medical diagnosis. To address this limitation, deep learning techniques have shown considerable promise. Domain adaptation techniques enhance a model's ability to generalize …

abstract advanced arxiv brain challenge convolutional convolutional neural networks cs.cv cs.lg diagnosis disease disease diagnosis diseases domain domain adaptation global global health health however imaging major maximum mean medical medical imaging modal mri networks neural networks type