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An Attention-Driven DenseNet–Vision Transformer (ViT) Architecture for Multi-label Chest X-ray Classification

Among the most challenging issues with respect to multilabel disease classification through the use of chest X-rays is the difficulty posed by the pattern of lesions that arise in the image besides the presence of class similarities and multiple thoracic diseases appearing in one image. As a result, abnormalities can b...