Medical image segmentation plays a pivotal role in ensuring accurate diagnosis. Traditional methods are predominantly monomodal, relying solely on image data. These image-only methods require large ...

Automatic medical image segmentation is a crucial topic in the medical domain and successively a critical counterpart in the computer-aided diagnosis paradigm. U-Net is the most widespread image ...

Image-only classification Text-only classification Multimodal classification: text and image inputs Attention mechanism visualization Image-only classification with the multimodal model trained on ...