LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation
Top Cited Papers
- 6 October 2024
- book chapter
- Published by Springer Nature
- p. 360-370
Abstract
No abstract availableKeywords
All Related Versions
This publication has 14 references indexed in Scilit:
- D-former: a U-shaped Dilated Transformer for 3D medical image segmentationNeural Computing and Applications, 2022
- Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images2022
- Swin Transformer: Hierarchical Vision Transformer using Shifted Windows2021
- Incorporating Convolution Designs into Visual Transformers2021
- CvT: Introducing Convolutions to Vision Transformers2021
- RepVGG: Making VGG-style ConvNets Great Again2021
- nnU-Net: a self-configuring method for deep learning-based biomedical image segmentationNature Methods, 2020
- 3D MRI Brain Tumor Segmentation Using Autoencoder Regularization2019
- U-Net: Convolutional Networks for Biomedical Image Segmentation2015
- The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information RepositoryJournal of Digital Imaging, 2013