GitHub

LISA: Reasoning Segmentation via Large Language Model

In this work, we propose a new segmentation task --- reasoning segmentation. The task is designed to output a segmentation mask given a complex and implicit query text. We establish a benchmark ...
GitHub

VeloxSeg: Johnson-Lindenstrauss Lemma Guided Network for Efficient 3D Medical Segmentation

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 ...
IEEE

VM-UNet++: Advanced Nested Vision Mamba UNet for Precise Medical Image Segmentation

Abstract: In the realm of medical image segmentation, the U-shaped structure comprising an encoder and a decoder has been demonstrated to be an extremely effective approach. They can be classified ...
IEEE

U-Net V2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation

In this paper, we introduce U-Net v2, a new robust and efficient U-Net variant for medical image segmentation. It aims to augment the infusion of semantic information into low-level features while ...