作者对比了VM-UNet与一些最先进模型的性能,并在表1和表2中展示了实验结果。 对于ISIC17和ISIC18数据集,VM-UNet在mIoU、DSC和Acc指标上超过了其他模型。对于Synapse数据集,VM-UNet也取得了具有竞争力的表现。例如,VM-UNet在DSC和HD95指标上分别超过了Swin-UNet——这是第一种纯粹的基于Transformer的模型——1.95%...
VM-UNet This is the official code repository for "VM-UNetV2: Rethinking Vision Mamba UNet for Medical Image Segmentation". {Arxiv Paper}This work is based the VM-UNet {Arxiv Paper} and UNetV2 {Arxiv Paper}This code is adjusted from VM-UNet{git link}, UNetV2{git link} and VMamba{...
Files main configs data datasets models pre_trained_weights unet_v2 .gitignore LICENSE README.md engine.py engine_synapse.py train.py train_gim.py train_isic_all.py train_npy.py train_synapse.py utils.py
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