Try SAM 3D to create editable 3D models and meshes from images, with manual scale and rotate tools, helping beginners turn ideas into assets ...

Overview of VeloxSeg. VeloxSeg employs an encoder-decoder architecture with Paired Window Attention (PWA) and Johnson-Lindenstrauss lemma-guided convolution (JLC) on the left, using 1x1 convolution as ...

Abstract: Recently, the field of 3D medical segmentation has been dominated by deep learning models employing Convolutional Neural Networks (CNNs) and Transformer-based architectures, each with its ...

Abstract: The Transformer architecture has demonstrated remarkable results in 3D medical image segmentation due to its capability of modeling global relationships. However, it poses a significant ...

Using 3D modeling to plan and guide cancer surgeries increases surgical precision, resulting in complete tumor removal for 92% of head and neck cancers that have invaded bone, according to a new study ...