The paper "TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation" introduces a novel architecture, TransFuse, that combines Convolutional Neural Networks (CNNs) and Transformers to improve medical image segmentation. The authors address the limitations of existing methods, which often suffer from deep networks that lose localized details and struggle with global context modeling. TransFuse employs a parallel-in-branch architecture, where both CNN and Transformer branches process information independently before being fused using the BiFusion module. This approach captures both global dependencies and low-level spatial details efficiently, leading to improved performance and reduced model size. Extensive experiments on various 2D and 3D medical image datasets, including polyp, skin lesion, hip, and prostate segmentation, demonstrate that TransFuse achieves state-of-the-art results with significant parameter reduction and faster inference speeds. The paper also includes an ablation study to validate the effectiveness of the proposed design choices.The paper "TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation" introduces a novel architecture, TransFuse, that combines Convolutional Neural Networks (CNNs) and Transformers to improve medical image segmentation. The authors address the limitations of existing methods, which often suffer from deep networks that lose localized details and struggle with global context modeling. TransFuse employs a parallel-in-branch architecture, where both CNN and Transformer branches process information independently before being fused using the BiFusion module. This approach captures both global dependencies and low-level spatial details efficiently, leading to improved performance and reduced model size. Extensive experiments on various 2D and 3D medical image datasets, including polyp, skin lesion, hip, and prostate segmentation, demonstrate that TransFuse achieves state-of-the-art results with significant parameter reduction and faster inference speeds. The paper also includes an ablation study to validate the effectiveness of the proposed design choices.